John Heidemann / Papers / Studying the Feasibility of Energy Harvesting in a Mobile Sensor Network

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

Citation

Mohammad Rahimi, Hardik Shah, Gaurav Sukhatme, John Heidemann and Deborah Estrin. Studying the Feasibility of Energy Harvesting in a Mobile Sensor Network. Proceedings of the IEEE International Conference on Robotics and Automation (Taipai, Taiwan, May 2003), 19–24. [PDF] [alt PDF]

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.

Bibtex Citation

@inproceedings{Rahimi03a,
  author = {Rahimi, Mohammad and Shah, Hardik and Sukhatme, Gaurav and Heidemann, John and Estrin, Deborah},
  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},
  sortdate = {2003-05-01},
  project = {ilense, cens},
  jsubject = {sensornet_general},
  publisher = {IEEE},
  address = {Taipai, Taiwan},
  month = may,
  pages = {19--24},
  jlocation = {johnh: folder: xxx},
  keywords = {energy harvesting, robotics, sensor networks,
                           actuation},
  url = {https://ant.isi.edu/%7ejohnh/PAPERS/Rahimi03a.html},
  pdfurl = {https://ant.isi.edu/%7ejohnh/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 © by John Heidemann