Wirelessly Powered Urban Crowd Sensing over Wearables: Trading Energy for Data
Olga Galinina, Konstantin Mikhaylov, Kaibin Huang, Sergey Andreev,, Yevgeni Koucheryavy

TL;DR
This paper proposes a novel urban crowd sensing paradigm using wearables powered wirelessly, incentivizing data sharing through energy transfer, and evaluates its feasibility and network considerations.
Contribution
It introduces the concept of wirelessly powered crowd sensing, providing architecture, wireless charging review, and a feasibility study for energy-data trading.
Findings
Feasibility of wirelessly powered crowd sensing demonstrated
Performance levels for energy transfer and data collection analyzed
Open research opportunities identified in energy-data trading mechanisms
Abstract
In this article, we put forward the mobile crowd sensing paradigm based on ubiquitous wearable devices carried by human users. The key challenge for mass user involvement into prospective urban crowd sending 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 the novel concept of wirelessly powered crowd sensing and offer the corresponding network architecture considerations together with a systematic review of wireless charging techniques to implement it. Further, we contribute a detailed system-level feasibility study that reports on the achievable performance levels…
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Taxonomy
TopicsMobile Crowdsensing and Crowdsourcing · Energy Harvesting in Wireless Networks · Indoor and Outdoor Localization Technologies
