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  • 1. Arunachalam, Raghu
    et al.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Janson, Sverker
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Sadeh, Norman M.
    The Supply Chain Management Game for the Trading Agent Competition 20042004Report (Other academic)
    Abstract [en]

    This report is the specification for the Trading Agent Competition Supply Chain Management Game - TAC SCM-04, to be held between July 20-22, 2004, in New York in conjunction with AAMAS-04. Based on the experience of the 2003 Trading Agent Competition a few enhancements have been added to the original game: (1)The price function has been modified to better reflect demand; (2) storage costs have been introduced; and (3) customer demand has been segmented into multiple markets.

  • 2. Casati, Fabio
    et al.
    Daniel, Florian
    Dantchev, Guenadi
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Karnouskos, Stamatis
    Moreno Montero, Patricio
    Mottola, Luca
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Oppermann, Felix
    Picco, Gian Pietro
    Quartulli, Antonio
    Römer, Kay
    Spiess, Patrik
    Tranquillini, Stefano
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Demo Abstract: From Business Process Specifications to Sensor Network Deployments2012Conference paper (Refereed)
  • 3. Casati, Fabio
    et al.
    Daniel, Florian
    Dantchev, Guenadi
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Karnouskos, Stamatis
    Moreno Montero, Patricio
    Mottola, Luca
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Oppermann, Felix
    Picco, Gian Pietro
    Quartulli, Antonio
    Römer, Kay
    Spiess, Patrik
    Tranquillini, Stefano
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Towards Business Processes Orchestrating the Physical Enterprise with Wireless Sensor Networks2012Conference paper (Refereed)
  • 4. Collins, John
    et al.
    Arunachalam, Raghu
    Sadeh, Norman M.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Janson, Sverker
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    The Supply Chain Management Game for the 2005 Trading Agent Competition2004Other (Other academic)
    Abstract [en]

    The Supply Chain Management Game for the 2005 Trading Agent Competition held during IJCAI 2005, in Edinburgh, Scotland. The supplier model has been substantially revised to overcome the "Day Zero" strategic singularity in TAC SCM 2003 and 2004.

  • 5. Daniel, Florian
    et al.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Fuchs, Harald
    Gaglione, Andrea
    Karnouskos, Stamatis
    Moreno Montero, Patricio
    Mottola, Luca
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Oertel, Nina
    Oppermann, Felix
    Picco, Gian Pietro
    Römer, Kay
    Spiess, Patrik
    Tranquillini, Stefano
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    makeSense: Real-world Business Processes through Wireless Sensor Networks2013Conference paper (Refereed)
  • 6.
    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 Networks2011Report (Other academic)
    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.

  • 7.
    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 Things2011Conference paper (Refereed)
    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.

  • 8.
    Dunkels, Adam
    et al.
    RISE, Swedish ICT, SICS.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Reprogramming wireless sensor networks with run-time dynamic linking in Contiki.2007In: Proceedings of Real-Time in Sweden 2007, 2007, 1Conference paper (Refereed)
  • 9.
    Dunkels, Adam
    et al.
    RISE, Swedish ICT, SICS.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Run-time dynamic linking for reprogramming wireless sensor networks2006Conference paper (Refereed)
    Abstract [en]

    From experience with wireless sensor networks it has become apparent that dynamic reprogramming of the sensor nodes is a useful feature. The resource constraints in terms of energy, memory, and processing power make sensor network reprogramming a challenging task. Many different mechanisms for reprogramming sensor nodes have been developed ranging from full image replacement to virtual machines. We have implemented an in-situ run-time dynamic linker and loader that use the standard ELF object file format. We show that run-time dynamic linking is an effective method for reprogramming even resource constrained wireless sensor nodes. To evaluate our dynamic linking mechanism we have implemented an application-specific virtual machine and a Java virtual machine and compare the energy cost of the different linking and execution models. We measure the energy consumption and execution time overhead on real hardware to quantify the energy costs for dynamic linking. Our results suggest that while in general the overhead of a virtual machine is high, a combination of native code and virtual machine code provide good energy efficiency. Dynamic run-time linking can be used to update the native code, even in heterogeneous networks.

  • 10.
    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 Stack2011Conference paper (Refereed)
  • 11.
    Eriksson, Joakim
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE, Swedish ICT, SICS.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Mspsim - an extensible simulator for msp430-equipped sensor boards.2007Conference paper (Refereed)
  • 12.
    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 boards2008Conference paper (Refereed)
  • 13.
    Eriksson, Joakim
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Janson, Sverker
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Evolution of a supply chain management game for the trading agent competition2006In: AI Communications, Vol. 19, p. 1-12Article in journal (Refereed)
    Abstract [en]

    TAC SCM is a supply chain management game for the Trading Agent Competition (TAC). The purpose of TAC is to spur high quality research into realistic trading agent problems. We discuss TAC and TAC SCM: game and competition design, scientific impact, and lessons learnt.

  • 14.
    Eriksson, Joakim
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Janson, Sverker
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    SICS MarketSpace: an agent-based market infrastructure1998Conference paper (Refereed)
    Abstract [en]

    We present a simple and uniform communication framework for an agent-based market infrastructure, the goal of which is to enable automation of markets with self-interested participants distributed over the Internet.

  • 15.
    Eriksson, Joakim
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Janson, Sverker
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    To each and everyone an agent: augmenting web-based commerce with agents1998Conference paper (Refereed)
  • 16.
    Eriksson, Joakim
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Janson, Sverker
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Towards self-managing systems2004In: ERCIM News, ISSN 0926-4981, E-ISSN 1564-0094, no 58Article in journal (Other (popular science, discussion, etc.))
  • 17.
    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 Memory2018In: Proceedings of the European Conference on Wireless Sensor Networks (EWSN 2018), February 14-16, 2018, Madrid, Spain, 2018Conference paper (Refereed)
  • 18.
    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 Cooja2013Conference paper (Refereed)
  • 19.
    Eriksson, Joakim
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Janson, Sverker
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    The trading agent competition: TAC 20022002In: ERCIM News, ISSN 0926-4981, E-ISSN 1564-0094, no 51Article in journal (Other (popular science, discussion, etc.))
    Abstract [en]

    The finals of the third annual Trading Agent Competition were held on 28 July 2002, co-located with AAA1-02 in Edmonton, Canada. The actual games took place on the Internet, with the game and auction servers running at SICS in Kista, Sweden. The agents resided at the home locations of the participating research groups.

  • 20.
    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.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Accurate power profiling for sensor network simulators2008Conference paper (Refereed)
  • 21.
    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 simulators2009Conference paper (Refereed)
  • 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
    COOJA/MSPSim: Interoperability Testing for Wireless Sensor Networks2009Conference paper (Refereed)
  • 23.
    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/MSPSim2009Conference paper (Refereed)
  • 24.
    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 simulator2009Conference paper (Refereed)
    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.

  • 25.
    Finne, Niclas
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Experiences from two sensor network deployments - self-configuration a key to success2007Report (Other academic)
    Abstract [en]

    Various experiments have shown that the performance of wireless sensor networks is very hard to predict. It is also acknowledged that deploying sensor networks in real settings is a difficult and tedious task. To contribute to the understanding of wireless sensor network behavior we report on our experience from two recently deployed sensor networks: one in-door surveillance network in a factory complex and a combined out-door and in-door surveillance network. Both networks use advanced sensor network technology such as ad hoc routing and multi hop networking. Our results highlight the need for self-configuration in wireless sensor networks, especially in cases where fast deployment and dynamic environments are important aspects.

  • 26.
    Finne, Niclas
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Experiences from two sensor network deployments: self-monitoring and self-configuration keys to success2008In: Wired/Wireless Internet Communications: 6th International Conference, WWIC 2008: Proceedings, Germany: Springer , 2008, 1, , p. 12Conference paper (Refereed)
    Abstract [en]

    Despite sensor network protocols being self-configuring, sensor network deployments continue to fail. We report our experience from two recently deployed IP-based multi-hop sensor networks: one in-door surveillance network in a factory complex and a combined out-door and in-door surveillance network. Our experiences highlight that adaptive protocols alone are not sufficient, but that an approach to self-monitoring and self-configuration that covers more aspects than protocol adaptation is needed. Based on our experiences, we design and implement an architecture for self-monitoring of sensor nodes. We show that the self-monitoring architecture detects and prevents the problems with false alarms encountered in our deployments. The architecture also detects software bugs by monitoring actual and expected duty-cycle of key components of the sensor node. We show that the energy-monitoring architecture detects bugs that cause the radio chip to be active longer than expected.

  • 27.
    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 Logic2010Conference paper (Refereed)
    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.

  • 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 IPv62010Conference paper (Refereed)
    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. 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 Together2011Conference paper (Refereed)
  • 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
    Vasseur, Jean-Philippe
    Durvy, Mathilde
    Terzis, Andreas
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Culler, David
    Demo: An Interoperability Development and Performance Diagnosis Environment2011Conference paper (Refereed)
    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.

  • 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
    Industry: Beyond Interoperability -- Pushing the Performance of Sensor Network IP Stacks2011Conference paper (Refereed)
  • 32.
    McNamara, Liam
    et al.
    RISE, Swedish ICT, SICS.
    Al Nahas, Beshr
    RISE, Swedish ICT, SICS.
    Duquennoy, Simon
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Demo Abstract: SicsthSense - Dispersing the Cloud2014Conference paper (Refereed)
    Abstract [en]

    —This demo presents SicsthSense, our open cloud platform for the Internet of Things. SicsthSense enables low power devices such as sensor nodes and smartphones to easily store their generated data streams in the cloud. This allows the data streams, and their history, to be made permanently available to users for visualisation, processing and sharing. Moving sensor data computation and monitoring into the cloud is a promising avenue to enable centralisation of control and redistribution of collected data. We showcase SicsthSense running with real sensor nodes collecting environmental data and posting it to our datastore. This live data is then visualised and made available for sharing between users of the platform. Our Android App will also be distributed to enable participants to stream their phone sensors into the system, demonstrating how simple it can be to start machine-to-machine interactions with SicsthSense.

  • 33.
    Mottola, Luca
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE, Swedish ICT, SICS.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Baresi, Luciano
    Ghezzi, Carlo
    Anquiro: Enabling Efficient Static Verification of Sensor Network Software2010Conference paper (Refereed)
  • 34.
    Pettinato, Paolo
    et al.
    RISE, Swedish ICT, SICS.
    Wirström, Niklas
    RISE, Swedish ICT, SICS.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Multi-Channel Two-way Time of Flight Sensor Network Ranging2012Conference paper (Refereed)
    Abstract [en]

    Two-way time of flight (ToF) ranging is one of the most interesting approaches for localization in wireless sensor networking since previous ToF ranging approaches using commercial off-the-shelf (COTS) devices have achieved good accuracy. The COTS-based approaches were, however, evaluated only in line-of-sight conditions. In this paper, we extend ToF ranging using multiple IEEE 802.15.4 channels. Our results demonstrate that with multiple channels we can achieve good accuracy even in non line-of-sight conditions. Furthermore, our measurements suggest that the variance between different channels serves as a good estimate of the accuracy of the measurements, which can be valuable information for applications that require localization information.

  • 35. Piñol Piño, Oriol
    et al.
    Raza, Shahid
    RISE, Swedish ICT, SICS, Security Lab.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    BSD-based ECC for the Contiki OS2015Conference paper (Refereed)
  • 36. Piñol Piñol, Oriol
    et al.
    Raza, Shahid
    RISE, Swedish ICT, SICS, Security Lab.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    BSD-based Elliptic Curve Cryptography for the Open Internet of Things2015Conference paper (Refereed)
  • 37. Sadeh, Norman M.
    et al.
    Arunachalam, Raghu
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Janson, Sverker
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    TAC-03: a supply-chain trading competition2003In: The AI Magazine, ISSN 0738-4602, Vol. 24, no 1, p. 92-94Article in journal (Refereed)
    Abstract [en]

    The Trading Agent Competition (TAC) has now become an annual fixture since its inception in 2000. The competition was conceived with the objective of studying automated trading strategies by focusing the research community on the development of competing solutions to a common trading scenario. The success of past TAC events has motivated broadening the scope of the competition beyond the context of the travel agent scenario used thus far. For the fourth edition of this competition, TAC-03, to be held in August 2003, the authors have created a novel supply-chain trading game with the aim of investigating automated agents in the context of dynamic supply-chain management.

  • 38.
    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 ContikiRPL2010Conference paper (Refereed)
  • 39.
    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 Evaluation2010Conference paper (Refereed)
    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.

  • 40.
    Voigt, Thiemo
    et al.
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE, Swedish ICT, SICS.
    Sauter, Robert
    Aschenbruck, Nils
    Marron, Pedro
    Reynolds, Vinny
    Shu, Lei
    Visser, Otto
    Koubaa, Anis
    CONET.
    Köpke, Andreas
    Towards comparable simulations of cooperating objects and wireless sensor networks2009Conference paper (Refereed)
  • 41.
    Voigt, Thiemo
    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.
    He, Zhitao
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Båmstedt, Ulf
    Schiller, Jochen
    Hjort, Klas
    Sensor Networking in Aquatic Environments - Experiences and New Challenges2007Conference paper (Refereed)
    Abstract [en]

    In this paper we present the design and implementation of a small-scale marine sensor network. The network monitors the temperature in the Baltic Sea on different heights from the water surface down to the bottom. Unlike many other wireless sensor networks, this network contains both a wired and a wireless part. One of the major challenges is that the network is hard to access after its deployment and hence both hard- and software must be robust and reliable. We also present the design of an advanced buoy system featuring a diving unit that achieves a better vertical resolution and discuss remaining challenges of sensor networking in aquatic environments.

  • 42.
    Yazar, Dogan
    et al.
    RISE, Swedish ICT, SICS.
    Tsiftes, Nicolas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Österlind, Fredrik
    RISE, Swedish ICT, SICS.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Demo Abstract: Augmenting Reality with IP-based Sensor Networks2010Conference paper (Refereed)
  • 43.
    Österlind, Fredrik
    et al.
    RISE, Swedish ICT, SICS.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Cross-level sensor network simulation with COOJA2006Conference paper (Refereed)
    Abstract [en]

    Simulators for wireless sensor networks are a valuable tool for system development. However, current simulators can only simulate a single level of a system at once. This makes system development and evolution difficult since developers cannot use the same simulator for both high-level algorithm development and low-level development such as device-driver implementations. We propose cross-level simulation, a novel type of wireless sensor network simulation that enables holistic simultaneous simulation at different levels. We present an implementation of such a simulator, COOJA, a simulator for the Contiki sensor node operating system. COOJA allows for simultaneous simulation at the network level, the operating system level, and the machine code instruction set level. With COOJA, we show the feasibility of the cross-level simulation approach.

  • 44.
    Österlind, Fredrik
    et al.
    RISE, Swedish ICT, SICS.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Cross-level sensor network simulation with Cooja2007In: Proceedings of Real-Time in Sweden 2007, 2007, 1Conference paper (Refereed)
  • 45.
    Österlind, Fredrik
    et al.
    RISE, Swedish ICT, SICS.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Cross-level simulation in cooja.2007Conference paper (Refereed)
  • 46.
    Österlind, Fredrik
    et al.
    RISE, Swedish ICT, SICS.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Tsiftes, Nicolas
    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.
    Sensornet checkpointing: enabling repeatability in testbeds and realism in simulations2009In: 6th European Conference on Wireless Sensor Networks, 2009, 1Conference paper (Refereed)
    Abstract [en]

    When developing sensor network applications, the shift from simulation to testbed causes application failures, resulting in additional time-consuming iterations between simulation and testbed. We propose transferring sensor network checkpoints between simulation and testbed to reduce the gap between simulation and testbed. Sensornet checkpointing combines the best of both simulation and testbeds: the nonintrusiveness and repeatability of simulation, and the realism of testbeds.

  • 47.
    Österlind, Fredrik
    et al.
    RISE, Swedish ICT, SICS.
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Dunkels, Adam
    RISE, Swedish ICT, SICS.
    Cooja TimeLine: A Power Visualizer for Sensor Network Simulation2010Conference paper (Refereed)
    Abstract [en]

    Power consumption is one of the most important factors in wireless sensor network research, but most simulators do not provide support for visualizing the power consumption of an entire sensor network. This makes it hard to develop, debug, and understand mechanisms and protocols based on power-saving mechanisms. We present Cooja TimeLine, an extension to Contiki’s Cooja network simulator, that visualizes radio traffic and radio usage of sensor networks. Cooja TimeLine makes is possible to visually see the behavior of low-power protocols and mechanisms thereby increasing the understanding of the behavior of sensor networks. We see this as an important tool for the field moving forward.

  • 48.
    Österlind, Fredrik
    et al.
    RISE, Swedish ICT, SICS.
    Pramsten, Erik
    Roberthson, Daniel
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Integrating Building Automation Systems and Wireless Sensor Networks2007Conference paper (Refereed)
    Abstract [en]

    Building automation systems (BAS) are used to control and improve indoor building climate at reduced costs. By integrating BAS with wireless sensor networks, the need for cabling can be removed, and both installation and operational costs significantly reduced. Furthermore, temporary BAS installations are made possible. By implementing and evaluating the open BAS standard BACnet on resource-constrained sensor nodes we show that integrating existing standard BAS protocols with wireless sensor networks is feasible.

  • 49.
    Österlind, Fredrik
    et al.
    RISE, Swedish ICT, SICS.
    Pramsten, Erik
    Roberthson, Daniel
    Eriksson, Joakim
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Finne, Niclas
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Voigt, Thiemo
    RISE, Swedish ICT, SICS, Computer Systems Laboratory.
    Integrating Building Automation Systems and Wireless Sensor Networks2007Report (Other academic)
    Abstract [en]

    Building automation systems (BAS) are used to control and improve indoor building climate at reduced costs. By integrating BAS with wireless sensor networks, the need for cabling can be removed, and both installation and operational costs significantly reduced. Furthermore, temporary BAS installations are made possible. By implementing and evaluating the open BAS standard BACnet on the ESB nodes we show that using existing standard BAS protocols is possible on resource-constrained sensor nodes.

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