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Publications (10 of 231) Show all publications
Pérez-Penichet, C., Varshney, A., Noda, C. & Voigt, T. (2018). Battery-free 802.15.4 Receiver. In: : . Paper presented at IPSN’18, April 2018, Porto, Portuga.
Open this publication in new window or tab >>Battery-free 802.15.4 Receiver
2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We present the architecture of an 802.15.4 receiver that, for the rsttime, operates at a few hundred microwatts, enabling new batteryfreeapplications. To reach the required micro-power consumption,the architecture diverges from that of commodity receivers in twoimportant ways. First, it ooads the power-hungry local oscillatorto an external device, much like backscatter transmitters do. Second,we avoid the energy cost of demodulating a phase-modulatedsignal by treating 802.15.4 as a frequency-modulated one, whichallows us to receive with a simple passive detector and an energyecientthresholding circuit. We describe a prototype that canreceive 802.15.4 frames with a power consumption of 361 µW. Ourreceiver prototype achieves sucient communication range to integratewith deployed wireless sensor networks (WSNs). We illustratethis integration by pairing the prototype with an 802.15.4 backscattertransmitter and integrating it with unmodied 802.15.4 sensornodes running the TSCH and Glossy protocols.

National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-34097 (URN)
Conference
IPSN’18, April 2018, Porto, Portuga
Available from: 2018-07-09 Created: 2018-07-09 Last updated: 2019-02-04Bibliographically approved
Pérez-Penichet, C., Noda, C., Varshney, A. & Voigt, T. (2018). Battery-free 802.15.4 Receiver. In: Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks: . Paper presented at 2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) (pp. 164-175).
Open this publication in new window or tab >>Battery-free 802.15.4 Receiver
2018 (English)In: Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018, p. 164-175Conference paper, Published paper (Refereed)
Abstract [en]

We present the architecture of an 802.15.4 receiver that, for the first time, operates at a few hundred microwatts, enabling new battery-free applications. To reach the required micro-power consumption, the architecture diverges from that of commodity receivers in two important ways. First, it offloads the power-hungry local oscillator to an external device, much like backscatter transmitters do. Second, we avoid the energy cost of demodulating a phase-modulated signal by treating 802.15.4 as a frequency-modulated one, which allows us to receive with a simple passive detector and an energy-efficient thresholding circuit. We describe a prototype that can receive 802.15.4 frames with a power consumption of 361 μW. Our receiver prototype achieves sufficient communication range to integrate with deployed wireless sensor networks (WSNs).We illustrate this integration by pairing the prototype with an 802.15.4 backscatter transmitter and integrating it with unmodified 802.15.4 sensor nodes running the TSCH and Glossy protocols.

National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-36462 (URN)10.1109/IPSN.2018.00045 (DOI)2-s2.0-85056287378 (Scopus ID)
Conference
2018 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN)
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2019-01-07Bibliographically approved
Pérez-Penichet, C., Noda, C., Varshney, A. & Voigt, T. (2018). Battery-free 802.15.4 Receiver: Demo Abstract. In: Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks: . Paper presented at 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (pp. 130-131).
Open this publication in new window or tab >>Battery-free 802.15.4 Receiver: Demo Abstract
2018 (English)In: Proceedings of the 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2018, p. 130-131Conference paper, Published paper (Refereed)
Abstract [en]

We present the architecture for an 802.15.4 receiver that enables battery-free operation. To reach micro-power consumption, the architecture diverges from that of commodity receivers in the following ways: First, similar to backscatter transmitters, it offloads the power-hungry local oscillator to an external device. Second, we avoid the energy cost of demodulating a phase-modulated signal by treating 802.15.4 as a frequency-modulated one, allowing us to receive with a simple passive detector and an energy-efficient thresholding circuit. We demonstrate an off-the-shelf prototype of our receiver receives 802.15.4 from a distance of 470 cm with the carrier generator 30 cm away. This range is sufficient to integrate with deployed wireless sensor networks (WSNs). We demonstrate this integration by pairing our receiver with a 802.15.4 backscatter transmitter and integrating it with unmodified commodity sensor nodes running the TSCH protocol.

National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-36458 (URN)10.1109/IPSN.2018.00028 (DOI)2-s2.0-85056289842 (Scopus ID)
Conference
17th ACM/IEEE International Conference on Information Processing in Sensor Networks
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2019-01-07Bibliographically approved
Giustiniano, D., Varshney, A. & Voigt, T. (2018). Connecting Battery-free IoT Tags Using LED Bulbs. In: Proceedings of the 17th ACM Workshop on Hot Topics in Networks: . Paper presented at HotNets '18 Proceedings of the 17th ACM Workshop on Hot Topics in Networks Redmond, WA, USA — November 15 - 16, 2018 (pp. 99-105).
Open this publication in new window or tab >>Connecting Battery-free IoT Tags Using LED Bulbs
2018 (English)In: Proceedings of the 17th ACM Workshop on Hot Topics in Networks, 2018, p. 99-105Conference paper, Published paper (Other academic)
Abstract [en]

We introduce BackVLC, a system to connect battery-free IoT tags using LED bulbs. We make use of bulbs beyond illumination. We send data to the tags with visible light communication (VLC), and retrofit the bulbs with simple circuitry to enable the uplink channel current VLC systems lack, using Radio Frequency (RF) backscatter communication from the tags. Tags process and send data, harvesting energy from light and radio. We present our system design and implementation, evaluate it in preliminary simulation studies and experiments, and discuss the research challenges to develop a complete network architecture. BackVLC is the first work that combines VLC with RF backscatter.

National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-36456 (URN)10.1145/3286062.3286077 (DOI)2-s2.0-85058384378 (Scopus ID)
Conference
HotNets '18 Proceedings of the 17th ACM Workshop on Hot Topics in Networks Redmond, WA, USA — November 15 - 16, 2018
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2019-01-11Bibliographically approved
Hylamia, A., Spanghero, M., Varshney, A., Voigt, T. & Papadimitratos, P. (2018). Demo: Security on Harvested Power. In: : . Paper presented at WiSec ’18, June 18–20, 2018, Stockholm, Sweden (pp. 296-298).
Open this publication in new window or tab >>Demo: Security on Harvested Power
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2018 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Security mechanisms for battery-free devices have to operate un-der severe energy constraints relying on harvested energy. Thisis challenging, as the energy harvested from the ambient environ-ment is usually scarce, intermittent and unpredictable. One of thechallenges for developing security mechanisms for such settingsis the lack of hardware platforms that recreate energy harvest-ing conditions experienced on a battery-free sensor node. In thisdemonstration, we present an energy harvesting security (EHS)platform that enables the development of security algorithms forbattery-free sensors. Our results demonstrate that our platform isable to harvest sufficient energy from indoor lighting to supportseveral widely used cryptography algorithmsSecurity on Harvested Power.

Keywords
Energy-harvesting, battery-free, embedded systems security, plat-forms
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-34321 (URN)10.1145/3212480.3226105 (DOI)2-s2.0-85050910546 (Scopus ID)9781450357319 (ISBN)
Conference
WiSec ’18, June 18–20, 2018, Stockholm, Sweden
Available from: 2018-08-06 Created: 2018-08-06 Last updated: 2019-01-07Bibliographically approved
Hylamia, A., Varshney, A., Soleiman, A., Papadimitratos, P., Rohner, C. & Voigt, T. (2018). Demo: Towards battery-free radio tomographic imaging. In: WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks: . Paper presented at 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2018, 18 June 2018 through 20 June 2018 (pp. 293-295).
Open this publication in new window or tab >>Demo: Towards battery-free radio tomographic imaging
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2018 (English)In: WiSec 2018 - Proceedings of the 11th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2018, p. 293-295Conference paper, Published paper (Refereed)
Abstract [en]

Radio Tomographic Imaging (RTI) enables novel radio frequency (RF) sensing applications such as intrusion detection systems by observing variations in radio links caused by human actions. RTI applications are, however, severely limited by the requirement to retrofit existing infrastructure with energy-expensive sensors. In this demonstration, we present our ongoing efforts to develop the first battery-free RTI system that operates on minuscule amounts of energy harvested from the ambient environment. Our system eliminates the energy-expensive components employed on state-of-the-art RTI systems achieving two orders of magnitude lower power consumption. Battery-free operation enables a sustainable deployment, as RTI sensors could be deployed for long periods of time with little maintenance effort. Our demonstration showcases an intrusion detection scenario enabled by our system.

Keywords
Backscatter, Battery-free, Radio-tomographic-imaging, Backscattering, Electric batteries, Mobile telecommunication systems, Radio links, Tomography, Wireless networks, Battery-free operations, Intrusion Detection Systems, Lower-power consumption, Maintenance efforts, Orders of magnitude, Sensing applications, Tomographic imaging, Intrusion detection
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-34595 (URN)10.1145/3212480.3226107 (DOI)2-s2.0-85050907001 (Scopus ID)9781450357319 (ISBN)
Conference
11th ACM Conference on Security and Privacy in Wireless and Mobile Networks, WiSec 2018, 18 June 2018 through 20 June 2018
Available from: 2018-08-14 Created: 2018-08-14 Last updated: 2018-08-15Bibliographically approved
Liu, Y., Voigt, T., Wirstrom, N. & Hoglund, J. (2018). ECOVIBE: On-Demand Sensing for Railway Bridge Structural Health Monitoring. IEEE Internet of Things Journal
Open this publication in new window or tab >>ECOVIBE: On-Demand Sensing for Railway Bridge Structural Health Monitoring
2018 (English)In: IEEE Internet of Things Journal, ISSN 2327-4662Article in journal (Refereed) Epub ahead of print
Abstract [en]

Energy efficient sensing is one of the main objectives in the design of networked embedded monitoring systems. However, existing approaches such as duty cycling and ambient energy harvesting face challenges in railway bridge health monitoring applications due to the unpredictability of train passages and insufficient ambient energy around bridges. This paper presents ECOVIBE (Eco-friendly Vibration), an on-demand sensing system that automatically turns on itself when a train passes on the bridge and adaptively powers itself off after finishing all tasks. After that, it goes into an inactive state with near-zero power dissipation. ECOVIBE achieves these by: Firstly, a novel, fully passive event detection circuit to continuously detect passing trains without consuming any energy. Secondly, combining train-induced vibration energy harvesting with a transistor-based load switch, a tiny amount of energy is sufficient to keep ECOVIBE active for a long time. Thirdly, a passive adaptive off control circuit is introduced to quickly switch off ECOVIBE. Also this circuit does not consume any energy during inactivity periods. We present the prototype implementation of the proposed system using commercially available components and evaluate its performance in real-world scenarios. Our results show that ECOVIBE is effective in railway bridge health monitoring applications.

Keywords
Bridge circuits, Event detection, Internet of Things, Monitoring, on-demand sensing, Sensors, smart transportation., structural health monitoring, Structural panels, vibration energy harvesting, Vibrations, Embedded systems, Energy efficiency, Energy harvesting, Railroad bridges, Railroads, On demands, Smart transportations
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-35159 (URN)10.1109/JIOT.2018.2867086 (DOI)2-s2.0-85052713646 (Scopus ID)
Available from: 2018-09-11 Created: 2018-09-11 Last updated: 2018-09-11Bibliographically approved
Sayakkara, A., Jayasuriya, N., Ranathunga, T., Suduwella, C., Vithanage, N., Keppitiyagama, C., . . . Voigt, T. (2018). Eloc: Locating wild elephants using low-cost infrasonic detectors. In: Proceedings - 2017 13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017: . Paper presented at 13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017, 5 June 2017 through 7 June 2017 (pp. 44-52).
Open this publication in new window or tab >>Eloc: Locating wild elephants using low-cost infrasonic detectors
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2018 (English)In: Proceedings - 2017 13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017, 2018, p. 44-52Conference paper, Published paper (Refereed)
Abstract [en]

A significant number of human and elephant lives have been lost due to the human-elephant conflict in Sri Lanka. To save lives of humans and elephants, it is therefore important to minimize encounters between them. In this paper, we present Eloc, a system that detects the presence of elephants using their infrasonic emissions near human habitats and then localize their positions. The high cost of infrasonic detectors is an important challenge to the real-world deployment of such localization systems, in particular in developing countries where the human-elephant conflict occurs. In order to address this problem, we design a low cost infrasonic detector that can be easily built using commodity off-the-shelf hardware. We present promising results in localizing an artificial infrasonic source and real-world experiments that suggest that we can localize free ranging elephants in the wild using this low cost infrasonic detector with an accuracy of around 10 m at distances of several hundred meters.

Keywords
Costs, Developing countries, Commodity off the shelves, High costs, Human habitats, Human-elephant conflicts, Localization system, Real world deployment, Real world experiment, Sri Lanka, Distributed computer systems
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-37055 (URN)10.1109/DCOSS.2017.34 (DOI)2-s2.0-85050638735 (Scopus ID)9781538639917 (ISBN)
Conference
13th International Conference on Distributed Computing in Sensor Systems, DCOSS 2017, 5 June 2017 through 7 June 2017
Available from: 2019-01-21 Created: 2019-01-21 Last updated: 2019-01-21Bibliographically approved
Ahmed, M. U., Fotouhi, H., Köckemann, U., Lindén, M., Tomasic, I., Tsiftes, N. & Voigt, T. (2018). Run-Time Assurance for the E-care@home System. In: Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 225): . Paper presented at International Conference on IoT Technologies for HealthCare HealthyIoT 2017: Internet of Things (IoT) Technologies for HealthCare. 24 October 2017 through 25 October 2017 (pp. 107-110).
Open this publication in new window or tab >>Run-Time Assurance for the E-care@home System
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2018 (English)In: Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 225), 2018, p. 107-110Conference paper, Published paper (Refereed)
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.

Keywords
Health care, Care homes, Design and implementations, Experimental evaluation, IOT networks, Performance degradation, Runtimes, Internet of things
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-33463 (URN)10.1007/978-3-319-76213-5_15 (DOI)2-s2.0-85042521264 (Scopus ID)9783319762128 (ISBN)
Conference
International Conference on IoT Technologies for HealthCare HealthyIoT 2017: Internet of Things (IoT) Technologies for HealthCare. 24 October 2017 through 25 October 2017
Note

 Funding details: 2015–2019, Knowledge Foundation; .

Available from: 2018-03-09 Created: 2018-03-09 Last updated: 2018-07-20Bibliographically approved
Eriksson, J., Finne, N., Tsiftes, N., Duquennoy, S. & Voigt, T. (2018). Scaling RPL to Dense and Large Networks with Constrained Memory. In: Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks: . Paper presented at EWSN ’18 Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks Madrid, Spain — February 14 - 16, 2018 (pp. 126-134).
Open this publication in new window or tab >>Scaling RPL to Dense and Large Networks with Constrained Memory
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2018 (English)In: Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks, 2018, p. 126-134Conference paper, Published paper (Refereed)
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.

Keywords
RPL, Scalability, Wireless Networking
National Category
Natural Sciences
Identifiers
urn:nbn:se:ri:diva-36441 (URN)
Conference
EWSN ’18 Proceedings of the 2018 International Conference on Embedded Wireless Systems and Networks Madrid, Spain — February 14 - 16, 2018
Available from: 2018-12-17 Created: 2018-12-17 Last updated: 2018-12-17Bibliographically approved
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-2586-8573

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