NDLI: Sustaining a perpetual wireless sensor network by multiple on-demand mobile wireless chargers

Content Provider	IEEE Xplore Digital Library
Author	Jian Wang Taozhi Si Xiumei Wu Xiaoming Hu Yinchun Yang
Copyright Year	2015
Description	Author affiliation: Sch. of Comput. & Inf. Eng., Shanghai Second Polytech. Univ., Shanghai, China (Jian Wang; Taozhi Si; Xiumei Wu; Xiaoming Hu; Yinchun Yang)
Abstract	Wireless sensor networks are traditionally constrained by finite energy supply. Recent wireless charging technology enables possibility for timely replenishing consumed energy of dispersed sensors. This paper investigates on-demand wireless charging problem with multiple mobile chargers, which can sustain a large-scale wireless sensor network operation perpetually without knowing energy consumption information of sensors a priori. We evaluate the nearest-first and recent-rarest-first strategies, which schedule multiple chargers for incoming charging requests. Also four synthesized occurrence processes of charging requests are presented and then used to compare scheduling strategies in terms of concurrent charging load and serving latency. Simulation results show that the nearest-first scheduling strategy suits for uniform charging request occurrence processes, while the recent-rarest-first scheduling strategy is better for localized charging request occurrence processes.
Starting Page	533
Ending Page	538
File Size	341167
Page Count	6
File Format	PDF
ISBN	9781479980697
DOI	10.1109/ICNSC.2015.7116093
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-09
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile communication Wireless sensor networks Mobile computing Robot sensing systems Wireless communication Context Inductive charging
Content Type	Text
Resource Type	Article

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