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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: 7th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), IEEE, 2018Conference 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.

Place, publisher, year, edition, pages
IEEE, 2018.
Keywords [en]
Battery free, Backscatter, receiver, 802.15.4, Zigbee, sensor networks, passive radio, wireless
National Category
Computer Engineering
Identifiers
URN: urn:nbn:se:uu:diva-366929DOI: 10.1109/IPSN.2018.00045ISI: 000449016500037ISBN: 978-1-5386-5298-5 (electronic)OAI: oai:DiVA.org:uu-366929DiVA, id: diva2:1266003
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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