Maximizing sensor lifetime in a rechargeable sensor network via partial energy charging on sensors

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Detail(s)

Original languageEnglish
Title of host publication2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)
PublisherIEEE
Pages153-161
Number of pages9
ISBN (Electronic)9781509017324
ISBN (Print)9781509017331
Publication statusPublished - Jun 2016

Conference

Title13th Annual IEEE International Conference on Sensing, Communication, and Networking (IEEE SECON 2016)
PlaceUnited Kingdom
CityLondon
Period27 - 30 June 2016

Abstract

The wireless energy transfer technology based on magnetic resonant coupling has emerged as a promising technology for wireless sensor networks, by providing controllable yet perpetual energy to sensors. In this paper we study the use of a mobile charger to wirelessly charge sensors in a rechargeable sensor network so that the sum of sensor lifetimes is maximized while the traveling distance of the mobile charger is minimized. Unlike existing studies that assumed a mobile charger must charge a sensor to its full energy capacity before moving to charge the next sensor, in this paper we assume that each sensor can be partially charged so that more sensors can be charged by the mobile charger before their energy depletions. Under this new charging model, we first formulate a novel optimization problem of scheduling the mobile charger to charge life-critical sensors with an objective to maximize the sum of sensor lifetimes, while minimizing the traveling distance of the mobile charger. Due to NP-hardness of the problem, we then propose an efficient algorithm for it. We finally evaluate the performance of the proposed algorithm through experimental simulations. Simulation results demonstrate that the proposed algorithm is very promising.

Citation Format(s)

Maximizing sensor lifetime in a rechargeable sensor network via partial energy charging on sensors. / Xu, Wenzheng; Liang, Weifa; Jia, Xiaohua; Xu, Zichuan.

2016 13th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 2016. p. 153-161 7733001.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review