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Wirelessly powered urban crowd sensing over wearables : trading energy for data

Galinina, Olga; Mikhaylov, Konstantin; Huang, Kaibin; Andreev, Sergey; Koucheryavy, Yevgeni (2018-05-01)

 
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https://doi.org/10.1109/MWC.2018.1600468

Galinina, Olga
Mikhaylov, Konstantin
Huang, Kaibin
Andreev, Sergey
Koucheryavy, Yevgeni
Institute of Electrical and Electronics Engineers
01.05.2018

O. Galinina, K. Mikhaylov, K. Huang, S. Andreev and Y. Koucheryavy, "Wirelessly Powered Urban Crowd Sensing over Wearables: Trading Energy for Data," in IEEE Wireless Communications, vol. 25, no. 2, pp. 140-149, April 2018. doi: 10.1109/MWC.2018.1600468

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© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1109/MWC.2018.1600468
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Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe201901232773
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Abstract

In this article, we put forward the paradigm of mobile crowd sensing based on ubiquitous wearable devices carried by human users. The key challenge for mass user involvement in prospective urban crowd sensing applications, such as monitoring of large-scale phenomena (e.g., traffic congestion and air pollution levels), is the appropriate sources of motivation. We thus advocate for the use of wireless power transfer provided in exchange for sensed data to incentivize the owners of wearables to participate in collaborative data collection. Based on this construction, we develop a novel concept of wirelessly powered crowd sensing and offer the corresponding network architecture considerations together with a systematic review of wireless charging techniques to support implementation. Further, we contribute a detailed system-level feasibility study that reports on the achievable performance levels for the envisioned setup. Finally, the underlying energy- data trading mechanisms are discussed, and the work concludes with outlining open research opportunities.

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