• DocumentCode
    2352072
  • Title

    Prolonging Sensor Network Lifetime Through Wireless Charging

  • Author

    Peng, Yang ; Li, Zi ; Zhang, Wensheng ; Qiao, Daji

  • Author_Institution
    Iowa State Univ., Ames, IA, USA
  • fYear
    2010
  • fDate
    Nov. 30 2010-Dec. 3 2010
  • Firstpage
    129
  • Lastpage
    139
  • Abstract
    The emerging wireless charging technology is a promising alternative to address the power constraint problem in sensor networks. Comparing to existing approaches, this technology can replenish energy in a more controllable manner and does not require accurate location of or physical alignment to sensor nodes. However, little work has been reported on designing and implementing a wireless charging system for sensor networks. In this paper, we design such a system, build a proof-of-concept prototype, conduct experiments on the prototype to evaluate its feasibility and performance in small-scale networks, and conduct extensive simulations to study its performance in large-scale networks. Experimental and simulation results demonstrate that the proposed system can utilize the wireless charging technology effectively to prolong the network lifetime through delivering energy by a robot to where it is needed. The effects of various configuration and design parameters have also been studied, which may serve as useful guidelines in actual deployment of the proposed system in practice.
  • Keywords
    battery chargers; robots; wireless sensor networks; large-scale networks; physical alignment; power constraint problem; robot; sensor network lifetime; wireless charging technology; sensor networks; wireless charging;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Real-Time Systems Symposium (RTSS), 2010 IEEE 31st
  • Conference_Location
    San Diego, CA
  • ISSN
    1052-8725
  • Print_ISBN
    978-0-7695-4298-0
  • Type

    conf

  • DOI
    10.1109/RTSS.2010.35
  • Filename
    5702224