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Optimizing wirelessly powered crowd sensing: Trading energy for data

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Details

Original languageEnglish
Title of host publication2018 IEEE International Conference on Communications Workshops
PublisherIEEE
Pages1-6
Number of pages6
ISBN (Electronic)9781538643280
DOIs
Publication statusPublished - 3 Jul 2018
Publication typeA4 Article in a conference publication
EventIEEE International Conference on Communications Workshops -
Duration: 1 Jan 1900 → …

Conference

ConferenceIEEE International Conference on Communications Workshops
Period1/01/00 → …

Abstract

To overcome the limited coverage in traditional wireless sensor networks, mobile crowd sensing (MCS) has emerged as a new sensing paradigm. To achieve longer battery lives of user devices and incentivize human involvement, this paper presents a novel approach that seamlessly integrates MCS with wireless power transfer, named wirelessly powered crowd sensing (WPCS), for supporting crowd sensing with energy consumption and offering rewards as incentives. An optimization problem is formulated to simultaneously maximize the data utility and minimize the energy consumption for service operator, by jointly controlling wireless-power allocation at the access point (AP) as well as sensing-data size, compression ratio, and sensor transmission duration at the mobile sensor (MS). Given the fixed compression ratios, the optimal power allocation policy is shown to have a threshold-based structure with respect to a defined crowd-sensing priority function for each MS. Given fixed sensing-data utilities, the compression policy achieves the optimal compression ratio. Extensive simulations are also presented to verify the efficiency of the contributed mechanisms.