TagAlong: efficient integration of battery-free sensor tags in standard wireless networks
2020 (English)In: Proceedings - 2020 19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020, Institute of Electrical and Electronics Engineers Inc. , 2020, p. 169-180Conference paper, Published paper (Refereed)
Abstract [en]
New battery-free sensor tags that interoperate with unmodified standard IoT devices can extend a sensor network's capabilities in a scalable and cost-effective manner. The tags achieve battery-free operation through backscatter-related techniques, while the standard IoT devices can provide the necessary unmodulated carrier, avoiding additional dedicated infrastructure. However, this approach presents multiple challenges: It requires coordination between nodes transmitting, receiving and generating carrier, adds extra latency and energy consumption to already constrained devices, and increases interference and contention in shared spectrum. We present TagAlong, a medium access mechanism for interoperable sensor tags that, besides coordinating, optimizes the use of carrier generators, minimizing the disruption caused to the operation of the regular nodes. We accomplish this by parallelizing communications with battery-free tags when possible, sharing carriers for multiple tags concurrently and synchronizing communications with tags that share carrier generators. We demonstrate the feasibility of TagAlong in a testbed deployment. In our evaluation we find that it can reduce the duration of the tags' schedule by 60% while improving the energy and spectrum usage by 30% when compared to sequential interrogation with no difference in reliability.
Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers Inc. , 2020. p. 169-180
Keywords [en]
Backscatter, Battery free sensors, Internet of Things, Scheduling, Cost effectiveness, Electric batteries, Energy utilization, Battery-free, Battery-free operations, Constrained devices, Cost effective, Medium access, Parallelizing, Sensor tag, Spectrum usage, Wireless sensor networks
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-45155DOI: 10.1109/IPSN48710.2020.00022Scopus ID: 2-s2.0-85086892980ISBN: 9781728154978 (print)OAI: oai:DiVA.org:ri-45155DiVA, id: diva2:1453891
Conference
19th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2020, 21 April 2020 through 24 April 2020
2020-07-132020-07-132023-06-08Bibliographically approved