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  • 1.
    Ahmed, Mobyen Uddin
    et al.
    Mälardalen University, Sweden.
    Fotouhi, Hossein
    Mälardalen University, Sweden.
    Köckemann, Uew
    Örebro University, Sweden.
    Lindén, Maria
    Mälardalen University, Sweden.
    Tomasic, Ivan
    Mälardalen University, Sweden.
    Tsiftes, Nicolas
    RISE - Research Institutes of Sweden, ICT, SICS.
    Voigt, Thiemo
    RISE - Research Institutes of Sweden, ICT, SICS.
    Run-Time Assurance for the E-care@home System2018Inngår i: Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 225), 2018, s. 107-110Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper presents the design and implementation of the software for a run-time assurance infrastructure in the E-care@home system. An experimental evaluation is conducted to verify that the run-time assurance infrastructure is functioning correctly, and to enable detecting performance degradation in experimental IoT network deployments within the context of E-care@home. © 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.

  • 2.
    Ahmed, Mobyen Uddin
    et al.
    Mälardalen University, Sweden.
    Fotouhi, Hossein
    Mälardalen University, Sweden.
    Köckemann, Uwe
    Örebro University, Sweden.
    Lindén, Maria
    Mälardalen University, Sweden.
    Tomasic, Ivan
    Mälardalen University, Sweden.
    Tsiftes, Nicolas
    RISE - Research Institutes of Sweden, ICT, SICS.
    Voigt, Thiemo
    RISE - Research Institutes of Sweden, ICT, SICS.
    Run-Time Assurance for the E-care@home System2017Inngår i: Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 2017, Vol. 225, s. 107-110Konferansepaper (Fagfellevurdert)
  • 3.
    Alirezaie, Marjan
    et al.
    Örebro University, Sweden.
    Renoux, Jennifer
    Örebro University, Sweden.
    Köckemann, Uwe
    Örebro University, Sweden.
    Kristoffersson, Annica
    Örebro University, Sweden.
    Karlsson, Lars
    Örebro University, Sweden.
    Blomqvist, Eva
    RISE - Research Institutes of Sweden, ICT, SICS.
    Tsiftes, Nicolas
    RISE - Research Institutes of Sweden, ICT, SICS.
    Voigt, Thiemo
    RISE - Research Institutes of Sweden, ICT, SICS.
    Loutfi, A
    Örebro University, Sweden.
    An ontology-based context-aware system for smart homes: E-care@home2017Inngår i: Sensors, ISSN 1424-8220, E-ISSN 1424-8220, Vol. 17, nr 7, artikkel-id 1586Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Smart home environments have a significant potential to provide for long-term monitoring of users with special needs in order to promote the possibility to age at home. Such environments are typically equipped with a number of heterogeneous sensors that monitor both health and environmental parameters. This paper presents a framework called E-care@home, consisting of an IoT infrastructure, which provides information with an unambiguous, shared meaning across IoT devices, end-users, relatives, health and care professionals and organizations. We focus on integrating measurements gathered from heterogeneous sources by using ontologies in order to enable semantic interpretation of events and context awareness. Activities are deduced using an incremental answer set solver for stream reasoning. The paper demonstrates the proposed framework using an instantiation of a smart environment that is able to perform context recognition based on the activities and the events occurring in the home.

  • 4.
    Boano, Carlo Alberto
    et al.
    Graz University of Technology, Austria.
    Römer, Kay
    Graz University of Technology, Austria.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mitigating the Adverse Effects of Temperature on Low-Power Wireless Protocols2014Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Research and industrial installations have shown that the on-board temperature of wireless sensor nodes deployed outdoors can experience high fluctuations over time with a large variability across the network. These variations can have a strong impact on the efficiency of low-power radios and can significantly affect the operation of communication protocols, often compromising network connectivity. In this paper, we show the adverse effects of temperature on communication protocols and propose techniques to increase their resilience. First, we experimentally show that fluctuations of the on-board temperature of sensor nodes reduce the efficiency of data link layer protocols, leading to a substantial decrease in packet reception rate and to a considerable increase in energy consumption. Second, we investigate the reasons for such performance degradation, and show that high on-board temperatures reduce the effectiveness of clear channel assessment, compromising the ability of a node to avoid collisions and to successfully wake-up from low-power mode. After modelling the behaviour of radio transceivers as a function of temperature, we propose two mechanisms to dynamically adapt the clear channel assessment threshold to temperature changes, thus making data link layer protocols temperature-aware. An extensive experimental evaluation shows that our approaches considerably increase the performance of a network in the presence of temperature variations commonly found in real-world outdoor deployments, with up to 42% lower radio duty-cycle and 87% higher packet reception rate.

  • 5.
    Boano, Carlo Alberto
    et al.
    RISE., Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Brown, James
    Roedig, Utz
    The Impact of Temperature on Outdoor Industrial Sensornet Applications2010Inngår i: IEEE Transactions on Industrial Informatics, ISSN 1551-3203, E-ISSN 1941-0050, Vol. 6, s. 451-459Artikkel i tidsskrift (Fagfellevurdert)
  • 6. Boano, Carlo Alberto
    et al.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Suarez, Pablo
    Poster Abstract: Exploiting the LQI Variance for Rapid Channel Quality Assessment2009Konferansepaper (Fagfellevurdert)
  • 7. Boano, Carlo Alberto
    et al.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Römer, Kay
    Zuniga, Marco
    Making Sensornet MAC Protocols Robust Against Interference2010Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Radio interference may lead to packet losses, thus negatively affecting the performance of sensornet applications. In this paper, we experimentally assess the impact of external interference on state-of-the-art sensornet MAC protocols. Our experiments illustrate that specific features of existing protocols, e.g., hand-shaking schemes preceding the actual data transmission, play a critical role in this setting. We leverage these results by identifying mechanisms to improve the robustness of existing MAC protocols under interference. These mechanisms include the use of multiple hand-shaking attempts coupled with packet trains and suitable congestion backoff schemes to better tolerate interference. We embed these mechanisms within an existing X-MAC implementation and show that they considerably improve the packet delivery rate while keeping the power consumption at a moderate level.

  • 8. Brown, James
    et al.
    Roedig, Utz
    Boano, Carlo Alberto
    Roemer, Kay
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Demo Abstract: How Temperature Affects IoT Communication2014Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In the future we will rely on applications built on top of the Internet of Things (IoT). Example applications are smart cities, smart grids and smart healthcare. These IoT applications require a reliable service with predictable quality, and that sensor data and actuator commands are delivered reliably and timely. Unfortunately, IoT performance is highly affected by environmental conditions, especially by ambient temperature. It is therefore necessary to configure an IoT system such that sufficient application performance is provided under all environmental conditions that may be encountered. In this demonstration, we show how ambient temperature affects the performance of an IoT application. Specifically, we connect remotely to a large-scale temperature-controlled testbed and show how temperature affects the operation of a state-of-the- art routing protocol. Using a local setup, we further demonstrate how the impact of temperature on communication links can be easily captured and modelled in order to inform the design of communication protocols robust to high temperature fluctuations.

  • 9.
    Dunkels, Adam
    et al.
    RISE., Swedish ICT, SICS.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Powertrace: Network-level Power Profiling for Low-power Wireless Networks2011Rapport (Annet vitenskapelig)
    Abstract [en]

    Low-power wireless networks are quickly becoming a critical part of our everyday infrastructure. Power consumption is a critical concern, but power measurement and estimation is a challenge. We present Powertrace, which to the best of our knowledge is the first system for network-level power profiling of low-power wireless systems. Powertrace uses power state tracking to estimate system power consumption and a structure called energy capsules to attribute energy consumption to activities such as packet transmissions and receptions. With Powertrace, the power consumption of a system can be broken down into individual activities which allows us to answer questions such as “How much energy is spent forwarding packets for node X?”, “How much energy is spent on control traffic and how much on critical data?”, and “How much energy does application X account for?”. Experiments show that Powertrace is accurate to 94% of the energy consumption of a device. To demonstrate the usefulness of Powertrace, we use it to experimentally analyze the power behavior of the proposed IETF standard IPv6 RPL routing protocol and a sensor network data collection protocol. Through using Powertrace, we find the highest power consumers and are able to reduce the power consumption of data collection with 24%. It is our hope that Powertrace will help the community to make empirical energy evaluation a widely used tool in the low-power wireless research community toolbox.

  • 10.
    Dunkels, Adam
    et al.
    RISE., Swedish ICT, SICS.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Low-power Interoperability for the IPv6-based Internet of Things2011Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The Internet of Things requires interoperability and low power consumption, but interoperability and low power consumption have thus far been mutually exclusive. This talk outlines the challenges in attaining low power operation for the IPv6-based Internet of Things, how this affects interoperability, and what must be done to combine the two.

  • 11.
    Dunkels, Adam
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    The Announcement Layer: Beacon Coordination for the Sensornet Stack2011Konferansepaper (Fagfellevurdert)
  • 12.
    Dunkels, Adam
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    IP-based sensor networks: a hands-on tutorial2009Konferansepaper (Fagfellevurdert)
    Abstract [en]

    IP-based sensor networks are a rapidly emerging hot topic in both academia and the industry. The open source uIP stack from the Contiki operating system, first released in 2001, is used in IP-enabled products and systems from hundreds of companies, ranging from pico-satellites, airplanes, and car engines, to worldwide freighter container tracking systems, ship control systems, and oil boring and pipeline monitoring systems. In October 2008 Cisco Systems released uIPv6, the world's smallest fully compliant IPv6 stack, for Contiki. During this tutorial, participants will get started with building IP-based sensor networks with Contiki and uIP, and get hands-on experience with developing, compiling, and running IP-based software on sensornet hardware, setting up IP networking to the sensor network, and getting performance metrics (power, throughput, latency) from a running network. We use a combination of Tmote Sky and Sentilla JCreate motes as the hardware platform. We provide Tmote Skys and JCreates for participants to borrow during the tutorial. To avoid installation of compilers and tools, participants will use the Instant Contiki development environment, a complete development environment in a single-file download consisting of a VMWare virtual machine with all Contiki software development tools installed: http://www.sics.se/contiki/instant-contiki.html

  • 13.
    Dunkels, Adam
    et al.
    RISE., Swedish ICT, SICS.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    He, Zhitao
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Demo abstract: Software-based sensor node energy estimation2007Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Being able to estimate the energy consumption of sensor nodes is essential both for evaluating existing sensor network mechanisms and for constructing new energy-aware mechanisms. We present a software-based mechanism for estimating the energy consumption of sensor node at run-time. Unlike previous energy estimation mechanisms, our mechanism does not require any additional hardware components or add-ons. Our demonstration shows the energy estimation in practice on a small network of Tmote Sky motes running the Contiki operating system. A PC connected to one of the motes shows the real-time energy estimation of the network nodes and where the energy is spent: CPU active, CPU sleeping, radio transmitting, radio listening, and LEDs

  • 14.
    Dunkels, Adam
    et al.
    RISE., Swedish ICT, SICS.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    He, Zhitao
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Software-based on-line energy estimation for sensor nodes2007Inngår i: Proceedings of the Fourth Workshop on Embedded Networked Sensors (Emnets IV), 2007, 1, , s. 5Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Energy is of primary importance in wireless sensor networks. By being able to estimate the energy consumption of the sensor nodes, applications and routing protocols are able to make informed decisions that increase the lifetime of the sensor network. However, it is in general not possible to measure the energy consumption on popular sensor node platforms. In this paper, we present and evaluate a softwarebased on-line energy estimation mechanism that estimates the energy consumption of a sensor node. We evaluate the mechanism by comparing the estimated energy consumption with the lifetime of capacitor-powered sensor nodes. By implementing and evaluating the X-MAC protocol, we show how software-based on-line energy estimation can be used to empirically evaluate the energy efficiency of sensor network protocols.

  • 15.
    Duquennoy, Simon
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Wirström, Niklas
    RISE., Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Leveraging IP for Sensor Network Deployment2011Konferansepaper (Fagfellevurdert)
  • 16. Durvy, Mathilde
    et al.
    Abeillé, Julien
    Wetterwald, Patrick
    O'Flynn, Colin
    Leverett, Blake
    Gnoske, Eric
    Vidales, Michael
    Mulligan, Geoff
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE - Research Institutes of Sweden, ICT, SICS.
    Making sensor networks IPv6 ready2008Inngår i: Proceedings of the Sixth ACM Conference on Networked Embedded Sensor Systems (ACM SenSys 2008), 2008, 1Konferansepaper (Fagfellevurdert)
    Abstract [en]

    With emerging IPv6-based standards such as 6LowPAN and ISA- 100a, full IPv6 sensor networks are the next major step. With millions of deployed embedded IPv6 devices, interoperability is of major importance, both within the sensor networks and between the sensors and the Internet hosts. We present uIPv6, the first IPv6 stack for memory-constrained devices that passes all Phase-1 IPv6 Ready certification tests. This is an important step for end-to-end interoperability between IPv6 sensors and any IPv6 capable device. To allow widespread community adoption, we release uIPv6 under a permissive open source license that allows both commercial and non-commercial use.

  • 17.
    Eriksson, Joakim
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE - Research Institutes of Sweden, ICT, SICS.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE - Research Institutes of Sweden, ICT, SICS.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Demo abstract: MSPsim - an extensible simulator for MSP430-equipped sensor boards2008Konferansepaper (Fagfellevurdert)
  • 18.
    Eriksson, Joakim
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Finne, Niclas
    RISE - Research Institutes of Sweden, ICT, SICS.
    Tsiftes, Nicolas
    RISE - Research Institutes of Sweden, ICT, SICS.
    Duquennoy, Simon
    RISE - Research Institutes of Sweden, ICT, SICS.
    Voigt, Thiemo
    RISE - Research Institutes of Sweden, ICT, SICS.
    Scaling RPL to Dense and Large Networks with Constrained Memory2018Inngår i: Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks, 2018, s. 126-134Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The Internet of Things poses new requirements for reliable, bi-directional communication in low-power and lossy networks, but these requirements are hard to fulfill since most existing protocols have been designed for data collection. In this paper, we propose standard-compliant mechanisms that make RPL meet these requirements while still scaling to large networks of IoT devices under significant resource constraints. Our aim is to scale far beyond what can be stored in RAM on the nodes of the network. The only node that needs to have storage for all the routing entries is the RPL root node. Based on experimentation with largescale commercial deployments, we suggest two mechanisms to make RPL scale under resource constraints: (1) end-to-end route registration with DAO and (2) a policy for managing the neighbor table. By employing these mechanisms, we show that the bi-directional packet reception rate of RPL networks increases significantly.

  • 19.
    Eriksson, Joakim
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Gielda, Mikael
    Gielda, Peter
    Demo Abstract: EmuLink - Heterogeneous Sensor Network Simulation in Cooja2013Konferansepaper (Fagfellevurdert)
  • 20.
    Eriksson, Joakim
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE - Research Institutes of Sweden, ICT, SICS.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE - Research Institutes of Sweden, ICT, SICS.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Accurate, network-scale power profiling for sensor network simulators2009Konferansepaper (Fagfellevurdert)
  • 21.
    Eriksson, Joakim
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Sauter, Robert
    Marrón, Pedro José
    COOJA/MSPSim: Interoperability Testing for Wireless Sensor Networks2009Konferansepaper (Fagfellevurdert)
  • 22.
    Eriksson, Joakim
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Sauter, Robert
    Marrón, Pedro José
    Demo Abstract: Towards Interoperability Testing for Wireless Sensor Networks with COOJA/MSPSim2009Konferansepaper (Fagfellevurdert)
  • 23.
    Eriksson, Joakim
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE - Research Institutes of Sweden, ICT, SICS.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Raza, Shahid
    RISE., Swedish ICT, SICS, Security Lab.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE - Research Institutes of Sweden, ICT, SICS.
    Demo abstract: accurate power profiling of sensornets with the COOJA/MSPSim simulator2009Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Power consumption is of utmost concern in sensor networks. Researchers have several ways of measuring the power consumption of a complete sensor network, but they are typically either impractical or inaccurate. To meet the need for practical and scalable measurement of power consumption of sensor networks, we have developed a cycle-accurate simulator, called COOJA/MSPsim, that enables live power estimation of systems running on MSP430 processors. This demonstration shows the ease of use and the power measurement accuracy of COOJA/MSPsim. The demo setup consists of a small sensor network and a laptop. Beside gathering software-based power measurements from the motes, the laptop runs COOJA/MSPsim to simulate the same network. We visualize the power consumption of both the simulated and the real sensor network, and show that the simulator produces matching results.

  • 24.
    Finne, Niclas
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Improving Sensornet Performance by Separating System Configuration from System Logic2010Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Many sensor network protocols are self-configuring, but independent self-configuration at different layers often results in suboptimal performance. We present Chi, a full-system configuration architecture that separates system logic from system configuration. Drawing from concepts in artificial intelligence, Chi allows full-system configuration that meets both changing application demands and changing environmental conditions. We show that configuration policies using Chi can improve throughput and energy efficiency without adding dependencies between layers. Our results show that sensornet systems can use Chi to adapt to changing conditions at all layers of the system, thus meeting the requirements of heterogeneous and continuously changing system conditions.

  • 25.
    Gonzalo Peces, Carlos
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Eriksson, Joakim
    RISE - Research Institutes of Sweden, ICT, SICS.
    Tsiftes, Nicolas
    RISE - Research Institutes of Sweden, ICT, SICS.
    Sleepy Devices Versus Radio Duty Cycling: The Case of Lightweight M2M2019Inngår i: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 6, nr 2, s. 2550-2562Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Standard protocols for wireless Internet of Things (IoT) communication must be energy-efficient in order to prolong the lifetimes of IoT devices. Two energy-saving strategies for wireless communication are prevalent within the IoT domain: 1) sleepy devices and 2) radio duty cycling. In this paper, we conduct a comprehensive evaluation as to what types of application scenarios benefit the most from either type of energy-saving strategy. We select the lightweight machine to machine (LwM2M) protocol for this purpose because it operates atop the standard constrained application protocol, and has support for sleepy devices through its Queue Mode. We implement the Queue Mode at both the server side and client side, and design enhancements of Queue Mode to further improve the performance. In our experimental evaluation, we compare the performance and characteristics of Queue Mode with that of running LwM2M in a network stack with the standard time-slotted channel hopping as the duty cycling medium access control protocol. By analyzing the results with the support of an empirical model, we find that each energy-saving strategy has different advantages and disadvantages depending on the scenario and traffic pattern. Hence, we also produce guidelines that can help developers to select the appropriate energy-saving strategy based on the application scenario.

  • 26.
    Hahm, Oliver
    et al.
    Inria, France.
    Baccelli, Emmanuel
    Inria, France.
    Petersen, Hauke
    Free University of Berlin, Germany.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Operating Systems for Low-End Devices in the Internet of Things: a Survey2015Inngår i: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 3, nr 5, s. 720-734Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The Internet of Things (IoT) is projected to soon interconnect tens of billions of new devices, in large part also connected to the Internet. IoT devices include both high-end devices which can use traditional go-to operating systems (OSs) such as Linux, and low-end devices which cannot, due to stringent resource constraints, e.g., very limited memory, computational power, and power supply. However, large-scale IoT software development, deployment, and maintenance requires an appropriate OS to build upon. In this paper, we thus analyze in detail the specific requirements that an OS should satisfy to run on low-end IoT devices, and we survey applicable OSs, focusing on candidates that could become an equivalent of Linux for such devices, i.e., a one-size-fits-most, open source OS for low-end IoT devices.

  • 27.
    He, Zhitao
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Rethinking link-level abstractions for sensor networks2008Konferansepaper (Fagfellevurdert)
    Abstract [en]

    For designers of the communication stack of sensor nodes there is a constant tension between performance and modularity. To alleviate this tension, researchers have come up with a number of modular architectures. In this work we take a refreshed view of the design of an abstract link level service, an important component in the communication stack. We start with a critical review of one such service, the Sensornet Protocol (SP), and then we implement an SP-flavored link level service featuring a novel combination of ARQ and MAC. Experimental results of transmission delay and energy efficiency highlight a few subtle architectural design trade-offs we have encountered, namely semantics binding, implicit information sharing, and time scope initialization. These aspects have significant impact on software modularity in tiny sensor nodes.

  • 28.
    Höglund, Joel
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE - Research Institutes of Sweden, ICT, SICS.
    Chauvenet, Cedric
    Pouillot, Mathieu
    Goudet, Pierre-Emmanuel
    Tourancheau, Bernard
    Genon-Catalot, Denis
    Poster Abstract: Interconnecting Low-Power Wireless and Power-Line Communications using IPv62010Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Wireless sensor networks for building automation and energy management has made great progress in recent years, but the inherent indoor radio range limitations can make communication unpredictable and system deployments difficult. Low-power radio can be combined with low-power Power-Line Communication (PLC) to extend the range and predictability of indoor communication for building management and automation systems. We take the first steps towards exploring the system implications for integration of low-power wireless and PLC in the same network. We leverage IPv6, which allow networks to exist over multiple physical communication media as well as the RPL routing protocol for low-power lossy networks.

  • 29.
    Keppitiyagama, Chamath
    et al.
    RISE., Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Boano, Carlo Alberto
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Poster Abstract: Temperature Hints for Sensornet Routing2013Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Real-world experiments have shown that the transmission power and the received signal strength of low-power radio transceivers used in sensornets decrease when temperature increases. We analyze how this phenomenon affects the network layer, and find that temperature fluctuations may cause undesirable behavior by sensornet routing protocols such as CTP and RPL. Furthermore, we present an approach to make these protocols robust to temperature fluctuations by augmenting the ETX link metric with temperature hints.

  • 30. Ko, JeongGil
    et al.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dawson-Haggerty, Stephen
    Terzis, Andreas
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Culler, David
    ContikiRPL and TinyRPL: Happy Together2011Konferansepaper (Fagfellevurdert)
  • 31. Ko, JeongGil
    et al.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dawson-Haggerty, Stephen
    Vasseur, Jean-Philippe
    Durvy, Mathilde
    Terzis, Andreas
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Culler, David
    Demo: An Interoperability Development and Performance Diagnosis Environment2011Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Interoperability is key to widespread adoption of sensor network technology, but interoperable systems have traditionally been difficult to develop and test. We demonstrate an interoperable system development and performance diagnosis environment in which different systems, different software, and different hardware can be simulated in a single network configuration. This allows both development, verification, and performance diagnosis of interoperable systems. Estimating the performance is important since even when systems interoperate, the performance can be sub-optimal, as shown in our companion paper that has been conditionally accepted for SenSys 2011.

  • 32. Ko, JeongGil
    et al.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dawson-Haggerty, Stephen
    Vasseur, Jean-Philippe
    Durvy, Mathilde
    Terzis, Andreas
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Culler, David
    Industry: Beyond Interoperability -- Pushing the Performance of Sensor Network IP Stacks2011Konferansepaper (Fagfellevurdert)
  • 33. Ko, JeongGil
    et al.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Terzis, Andreas
    Pragmatic Low-Power Interoperability: ContikiMAC vs TinyOS LPL2012Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Standardization has driven interoperability at multiple layers of the stack, such as the routing and application layers, standardization of radio duty cycling mechanisms have not yet reached the same maturity. In this work, we pitch the two de facto standard flavors of sender-initiated radio duty cycling mechanisms against each other: ContikiMAC and TinyOS LPL. Our aim is to explore pragmatic interoperability mechanisms at the radio duty cycling layer. This will lead to better understanding of interoperability problems moving forward, as radio duty cycling mechanisms get standardized. Our results show that the two flavors can be configured to operate together but that parameter configuration may severely hurt performance.

  • 34.
    Köckemann, Uwe
    et al.
    Örebro University, Sweden.
    Tsiftes, Nicolas
    RISE - Research Institutes of Sweden, ICT, SICS.
    Loutfi, Amy
    Örebro University, Sweden.
    Integrating Constraint-based Planning with LwM2M for IoT Network Scheduling2018Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper describes the design and implementationof a network scheduler prototype for IoT networks within the e-healthcare domain. The network scheduler combines a constraint-based task planner with the Lightweight Machine-to-Machine (LwM2M) protocol to be able to reconfigure IoT networks at run-time based on recognized activities and changes in the environment. To support such network scheduling, we implement a LwM2M application layer for the IoT devices that provides sensor data, network stack information, and a set of controllable parameters that affect the communication performance and the energy consumption.

  • 35. Löscher, Andreas
    et al.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Handziski, Vlado
    Demo Abstract: Network-Wide Sensornet Checkpointing Made Practical2013Konferansepaper (Fagfellevurdert)
  • 36.
    Löscher, Andreas
    et al.
    Uppsala University, Sweden.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Handziski, Vlado
    Technische Universität Berlin, Germany.
    Efficient and Flexible Sensornet Checkpointing2014Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Developing sensornet software is difficult partly because of the limited visibility of the system state of deployed nodes. Sensornet checkpointing is a method that allows developers to save and restore full system state of nodes. We present four extensions to sensornet checkpointing - compression, binary diffs, selective checkpointing, and checkpoint inspection - that reduce the time required for checkpointing operations considerably, and improve the granularity at which system state can be examined and manipulated down to the variable level. We show through an experimental evaluation that the checkpoint sizes can be reduced by 70%-93%, and the time can be reduced by at least 50% because of these improvements. The reduced time and increased granularity benefits multiple checkpointing use cases, including automated testing, network visualization, and software debugging.

  • 37.
    Michel, Mathieu
    et al.
    University of Mons, Belgium.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Uppsala University, Sweden.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory. Polytechnic University of Milan, Italy.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Quoitin, Bruno
    University of Mons, Belgium.
    Predictable MAC-level Performance in Low-power Wireless under Interference2016Inngår i: Proceedings of the 2016 International Conference on Embedded Wireless Systems and Networks, 2016, 9, s. 13-22Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Predictable performance is key for many WSN applications. Recent efforts use models of the environment, the employed hardware, and protocols to predict network performance. Towards this end, we present an intentionally simple model of ContikiMAC, Contiki’s default MAC layer, targeting worst-case bounds for packet delivery rate and latency. Our experiments reveal problems in the performance of ContikiMAC, which make the protocol perform much worse than predicted, and hence prohibit predictable performance with the current ContikiMAC implementation. We show that the reason for this performance degradation is that ContikiMAC loses phase-lock. To solve this problem, we add fine-grained timing information into the acknowledgment packets. We show that this mechanism solves these problems and enables predictable performance with ContikiMAC even under high external interference.

  • 38.
    Misra, Prasant
    et al.
    RISE., Swedish ICT, SICS.
    Mottola, Luca
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Raza, Shahid
    RISE., Swedish ICT, SICS, Security Lab.
    Duquennoy, Simon
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Höglund, Joel
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Supporting Cyber-Physical Systems with Wireless Sensor Networks: An Outlook of Software and Services2013Inngår i: Journal of the Indian Institute of Science, ISSN 0970-4140, Vol. 93, s. 441-462Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Sensing, communication, computation and control technologies are the essential building blocks of a cyber-physical system (CPS). Wireless sensor networks (WSNs) are a way to support CPS as they provide fine-grained spatial-temporal sensing, communication and computation at a low premium of cost and power. In this article, we explore the fundamental concepts guiding the design and implementation of WSNs. We report the latest developments in WSN software and services for meeting existing requirements and newer demands; particularly in the areas of: operating system, simulator and emulator, programming abstraction, virtualization, IP-based communication and security, time and location, and network monitoring and management. We also reflect on the ongoing efforts in providing dependable assurances for WSN-driven CPS. Finally, we report on its applicability with a case-study on smart buildings.

  • 39. Mulligan, Geoff
    et al.
    O'Flynn, Colin
    Abeillé, Julien
    Durvy, Mathilde
    Wetterwald, Patrick
    Leverett, Blake
    Gnoske, Eric
    Vidales, Michael
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Demo abstract: seamless sensor network IP connectivity2009Konferansepaper (Fagfellevurdert)
  • 40. O'Donovan, Tony
    et al.
    Sreenan, Cormac J.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    He, Zhitao
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Poster Abstract: Storage-Centric Debugging of Performance Problems in Sensor Networks2010Konferansepaper (Fagfellevurdert)
  • 41. O'Donovan, Tony
    et al.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    He, Zhitao
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Sreenan, Cormac J.
    Detailed Diagnosis of Performance Anomalies in Sensornets2010Konferansepaper (Fagfellevurdert)
    Abstract [en]

    We address the problem of analysing performance anomalies in sensor networks. In this paper, we propose an approach that uses the local flash storage of the motes for logging system data, in combination with online statistical analysis. Our results show not only that this is a feasible method but that the overhead is significantly lower than that of communication-centric methods, and that interesting patterns can be revealed when calculating the correlation of large data sets of separate event types.

  • 42.
    Peces, Carlos
    et al.
    RISE - Research Institutes of Sweden, ICT, SICS.
    Eriksson, Joakim
    RISE - Research Institutes of Sweden, ICT, SICS.
    Tsiftes, Nicolas
    RISE - Research Institutes of Sweden, ICT, SICS.
    Sleepy Devices vs. Radio Duty Cycling: The Case of Lightweight M2M2019Inngår i: IEEE Internet of Things Journal, ISSN 2327-4662, Vol. 6, nr 2, s. 2550-2562, artikkel-id 8470064Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Standard protocols for wireless IoT communication must be energy-efficient in order to prolong the lifetimes of IoT devices. Two energy-saving strategies for wireless communication are prevalent within the IoT domain: sleepy devices and radio duty cycling. In this paper, we conduct a comprehensive evaluation as to what types of application scenarios benefit the most from either type of energy-saving strategy. We select the Lightweight Machine to Machine (LwM2M) protocol for this purpose because it operates atop the standard Constrained Application Protocol (CoAP), and has support for sleepy devices through its Queue Mode. We implement the Queue Mode at both the server side and client side, and design enhancements of Queue Mode to further improve the performance. In our experimental evaluation, we compare the performance and characteristics of Queue Mode with that of running LwM2M in a network stack with the standard Time-Slotted Channel Hopping (TSCH) as the duty cycling MAC protocol. By analyzing the results with the support of an empirical model, we find that each energy-saving strategy has different advantages and disadvantages depending on the scenario and traffic pattern. Hence, we also produce guidelines that can help developers to select the appropriate energy-saving strategy based on the application scenario.

  • 43.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Storage-Centric System Architectures for Networked, Resource-Constrained Devices2015Doktoravhandling, monografi (Annet vitenskapelig)
  • 44.
    Tsiftes, Nicolas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Using data compression for energy-efficient reprogramming of wireless sensor networks2007Rapport (Annet vitenskapelig)
    Abstract [en]

    Software used in sensor networks to perform tasks such as sensing, network routing, and operating system services can be subject to changes or replacements during the long lifetimes of many sensor networks. The task of reprogramming the network nodes consumes a significant amount of energy and increases the network congestion because the software is sent over radio in an epidemic manner to all the nodes. In this thesis, I show that the use of data compression of dynamically linkable modules makes the reprogramming more energy-efficient and reduces the time needed for the software to propagate. The cost for using data compression is that the decompression algorithm must execute for a relatively long time, and that the software takes five to ten kilobytes to store on the sensor nodes.

  • 45.
    Tsiftes, Nicolas
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    A Database in Every Sensor2011Konferansepaper (Fagfellevurdert)
  • 46.
    Tsiftes, Nicolas
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    He, Zhitao
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Enabling Large-Scale Storage in Sensor Networks with the Coffee File System2009Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Persistent storage offers multiple advantages for sensor networks, yet the available storage systems have been unwieldy because of their complexity and device-specific designs. We present the Coffee file system for flash-based sensor devices. Coffee provides a programming interface for building efficient and portable storage abstractions. Unlike previous flash file systems, Coffee uses a small and constant RAM footprint per file, making it scale elegantly with workloads consisting of large files or many files. In addition, the performance overhead of Coffee is low: the throughput is at least 92\% of the achievable direct flash driver throughput. We show that network layer components such as routing tables and packet queues can be implemented on top of Coffee, leading to increased performance and reduced memory requirements for routing and transport protocols.

  • 47.
    Tsiftes, Nicolas
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE - Research Institutes of Sweden, ICT, SICS.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Efficient sensor network reprogramming through compression of executable modules2008Konferansepaper (Fagfellevurdert)
  • 48.
    Tsiftes, Nicolas
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Duquennoy, Simon
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Ahmed, Mobyen Uddin
    Mälardalen University, Sweden.
    Köckemann, Uwe
    Örebro University, Sweden.
    Loutfi, Amy
    Örebro University, Sweden.
    The E-Care@Home Infrastructure for IoT-Enabled Healthcare2016Inngår i: Internet of Things Technologies for HealthCare, Springer, 2016, 8, Vol. 187, s. 138-140Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The E-Care@Home Project aims at providing a comprehensive IoT-based healthcare system, including state-of-the-art communication protocols and high-level analysis of data from various types of sensors. With this poster, we present its novel technical infrastructure, consisting of low-power IPv6 networking, sensors for health monitoring, and resource-efficient software, that is used to gather data from elderly patients and their surrounding environment.

  • 49.
    Tsiftes, Nicolas
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    Poster Abstract: Low-Power Wireless IPv6 Routing with ContikiRPL2010Konferansepaper (Fagfellevurdert)
  • 50.
    Tsiftes, Nicolas
    et al.
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE., Swedish ICT, SICS.
    Höglund, Joel
    RISE., Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE., Swedish ICT, SICS.
    A Framework for Low-Power IPv6 Routing Simulation, Experimentation, and Evaluation2010Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Low-power networked devices, such as sensors and actuators, are becoming a vital part of our everyday infrastructure. Being networked, the continued development of these systems needs involvement of the networking community. We present a framework for simulation, experimentation, and evaluation of routing mechanisms for low-power IPv6 networking. The framework provides a detailed simulation environment for low-power routing mechanisms and allows the system to be directly uploaded to a physical testbed for experimental measurements.

12 1 - 50 of 58
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