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Studying the Feasibility of Energy Harvesting in a Mobile Sensor Network

Mohammad Rahimi, Hardik Shah, Gaurav Sukhatme, John Heidemann, and Deborah Estrin
USC/Information Sciences Institute

Abstract

 We study the feasibility of extending the lifetime of a wireless sensor network by exploiting mobility. In our system, a small percentage of network nodes are autonomously mobile, allowing them top move in search of energy, recharge, and deliver energy to immobile, energy-depleted nodes. We term this approach energy harvesting. We characterize the problem of uneven energy consumption, suggest energy harvesting as a possible solution, and provide a simple analytical framework to evaluate energy consumption and our scheme. Data from initial feasibility experiments using energy harvesting show promising results.

Availability

This paper is available in several formats: abstract web page with pointers and cites, PDF, paper copies can be obtained by mail to the authors. Copyright terms for this paper appear below.

Reference

Rahimi03a
Mohammad Rahimi, Hardik Shah, Gaurav Sukhatme, John Heidemann, and Deborah Estrin. Studying the Feasibility of Energy Harvesting in a Mobile Sensor Network. In Proceedings of the IEEE International Conference on Robotics and Automation, pp. 19-24. Taipai, Taiwan, IEEE. May, 2003. <http://www.isi.edu/~johnh/PAPERS/Rahimi03a.html>. 
@inproceedings{Rahimi03a,
	author = "Mohammad Rahimi and Hardik Shah and Gaurav
 Sukhatme and John Heidemann and Deborah Estrin",
	title = "Studying the Feasibility of Energy Harvesting in a Mobile Sensor Network",
	booktitle = "Proceedings of the  IEEE International Conference on Robotics and Automation",
	year = "2003",
	publisher = "{IEEE}",
	address = "Taipai, Taiwan",
	month = "May",
	pages = "19--24",
	keywords = "energy harvesting, robotics, sensor networks,
                         actuation",
	url = "http://www.isi.edu/~johnh/PAPERS/Rahimi03a.html",
	pdfurl = "http://www.isi.edu/~johnh/PAPERS/Rahimi03a.pdf",
	copyrightholder = "
	Personal use of this material is permitted.  However,
	permission to reprint/republish this material for advertising
	or promotional purposes or for creating new collective works
        for resale or redistribution to servers or lists,
	or to reuse any copyrighted component of this work in other works
	must be obtained from the IEEE.
",
	myorganization = "USC/Information Sciences Institute",
}

Copyright

This paper is copyright © 2003 by Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. . Permission to make digital or hard copies of part or all of this work for personal use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that new copies bear this notice and the full citation on the first page. Abstracting with credit is permitted.

To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission of the authors.


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