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

Olga Galinina, Konstantin Mikhaylov, Kaibin Huang, Sergey Andreev, Yevgeni Koucheryavy

    Research output: Contribution to journalArticleScientificpeer-review

    26 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)140-149
    Number of pages10
    JournalIEEE Wireless Communications
    Volume25
    Issue number2
    DOIs
    Publication statusPublished - 1 Apr 2018
    Publication typeA1 Journal article-refereed

    Publication forum classification

    • Publication forum level 2

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering

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