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OPSitu: A Semantic-Web Based Situation Inference Tool Under Opportunistic Sensing Paradigm Read chapter Read first chapter

2014 | OriginalPaper | Chapter

On-demand Mobile Charger Scheduling for Effective Coverage in Wireless Rechargeable Sensor Networks

Authors : Lintong Jiang, Haipeng Dai, Xiaobing Wu, Guihai Chen

Published in: Mobile and Ubiquitous Systems: Computing, Networking, and Services

Publisher: Springer International Publishing

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Abstract

In this paper, we consider the problem of scheduling mobile chargers (MCs) in an on-demand way to maximize the covering utility (CU) in wireless rechargeable sensor networks (WRSNs), while nearly all previous related works assume the MCs move along predefined paths with perfect priori information. And the CU is defined to quantify the effectiveness of event monitoring. We propose three heuristics for this problem after proving its NP-Completeness. Finally we evaluate our solutions through extensive trace-driven simulations.

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Metadata
Title
On-demand Mobile Charger Scheduling for Effective Coverage in Wireless Rechargeable Sensor Networks
Authors
Lintong Jiang
Haipeng Dai
Xiaobing Wu
Guihai Chen
Copyright Year
2014
Book
Mobile and Ubiquitous Systems: Computing, Networking, and Services

Print ISBN: 978-3-319-11568-9

Electronic ISBN: 978-3-319-11569-6

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-319-11569-6_62

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