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Carrier scheduling in IoT networks with interoperable battery-free backscatter tags: poster abstract

Published: 16 April 2019 Publication History

Abstract

New battery-free backscatter tags that integrate with unmodified standard IoT devices can extend the latter's sensing capabilities in a scalable and cost effective way. Existing IoT nodes can provide the unmodulated carrier needed by the new nodes, avoiding the need for additional infrastructure. This, however, puts extra energetic demands on constrained IoT nodes while increasing interference and contention in the network. We use a slotted MAC protocol to guarantee synchronization between transmitters, receivers and carrier generators. We then express the slot allocation problem as a Constraint Optimization Problem (COP) that parallelizes interrogations to battery-free tags when they do not collide with each other and reuses carriers for multiple tags looking to minimize the total time and the number of carrier generators needed to interrogate a set of tags. In networks with sufficient battery-free nodes we obtain a 25% reduction in the number of necessary carriers and a 50% decrease in interrogation time in most cases; leading to significant energy savings, reduced collisions and improved latency.

References

[1]
J. F. Ensworth et al. 2017. A low power 2.4 GHz superheterodyne receiver architecture with external LO for wirelessly powered backscatter tags and sensors. In 2017 IEEE International Conference on RFID (IEEE RFID). 149--154.
[2]
Bryce Kellogg, Vamsi Talla, Shyamnath Gollakota, and Joshua R. Smith. 2016. Passive Wi-Fi: Bringing Low Power to Wi-Fi Transmissions (NSDI '16). 151--164.
[3]
H. Kenniche and V. Ravelomananana. 2010. Random Geometric Graphs as model of Wireless Sensor Networks. In ICCAE 2010, Vol. 4. 103--107.
[4]
Carlos Pérez-Penichet et al. 2016. Augmenting IoT Networks with Backscatter-enabled Passive Sensor Tags (HotWireless '16). ACM, New York, NY, USA, 23--27.
[5]
Carlos Pérez-Penichet et al. 2018. Battery-free 802.15.4 Receiver (IPSN '18). IEEE Press, Piscataway, NJ, USA, 164--175.

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Published In

cover image ACM Conferences
IPSN '19: Proceedings of the 18th International Conference on Information Processing in Sensor Networks
April 2019
365 pages
ISBN:9781450362849
DOI:10.1145/3302506
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • IEEE-SPS: Signal Processing Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 April 2019

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Author Tags

  1. MAC-layer
  2. backscatter
  3. battery-free
  4. optimization
  5. schedule

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IPSN '19
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IPSN '19 Paper Acceptance Rate 25 of 91 submissions, 27%;
Overall Acceptance Rate 143 of 593 submissions, 24%

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