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Demo Abstract: Battery-Free 802.15.4 Receiver
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (UNO)
Mid-Sweden University, Sweden.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (UNO)
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Architecture and Computer Communication. (UNO)ORCID iD: 0000-0002-2586-8573
2018 (English)In: 17th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), IEEE, 2018, p. 130-131Conference paper, Poster (with or without abstract) (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.

Place, publisher, year, edition, pages
IEEE, 2018. p. 130-131
Keywords [en]
Sensor networks, battery free, backscatter, receiver, 802.15.4
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:uu:diva-366926DOI: 10.1109/IPSN.2018.00028ISI: 000449016500020ISBN: 978-1-5386-5298-5 (electronic)OAI: oai:DiVA.org:uu-366926DiVA, id: diva2:1266001
Conference
17th ACM/IEEE International Conference on Information Processing in Sensor Networks, Porto, Portugal, 11-13 April, 2018.
Funder
Swedish Research Council, 2017-045989Knowledge Foundation, 20140319Available from: 2018-11-26 Created: 2018-11-26 Last updated: 2018-12-20Bibliographically approved

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Carlos, Perez PenichetVarshney, AmbujVoigt, Thiemo

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