• DocumentCode
    3323536
  • Title

    Energy Balancing Hopping Sensor Network Model to Maximize Coverage

  • Author

    Cintrón, Fernando J. ; Pongaliur, Kanthakumar ; Mutka, Matt W. ; Xiao, Li

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Michigan State Univ., East Lansing, MI, USA
  • fYear
    2009
  • fDate
    3-6 Aug. 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In wireless sensor networks, communication signal strength weakens as the distance between sensors increases, which increases the tendency for transmitted packets to be lost. This paper provides a novel method of incorporating the hopping capability of a sensor to increase its communication range, which results in increased connectivity and sensed coverage area. Furthermore, jump heights can be manipulated to enhance packet transmissions. Since energy is at premium within sensor nodes, we present a Hopping Sensor Network Model (HSNM) and an energy conserving Hopping Sensor Routing Protocol (HSRP), which aims to optimize communication paths while balancing energy depletion in the network. Results from practical in-field experiments and simulations demonstrate the effectiveness of the approach when employed over a wireless hopping sensor network by showing increased network connectivity and the total area covered. HSRP simulations demonstrated 20% energy saving while increasing the packet delivery. The HSRP results in far less number of dead nodes, especially the high traffic nodes that are closer to the base station.
  • Keywords
    packet radio networks; telecommunication network management; wireless sensor networks; communication path optimization; communication range; communication signal strength; coverage maximization; energy balancing hopping sensor network model; energy conserving hopping sensor routing protocol; network connectivity; packet delivery; packet transmission; sensed coverage area; wireless hopping sensor network; Batteries; Computer science; Energy consumption; Network topology; Power engineering and energy; Robot sensing systems; Routing protocols; Telecommunication traffic; Traffic control; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications and Networks, 2009. ICCCN 2009. Proceedings of 18th Internatonal Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1095-2055
  • Print_ISBN
    978-1-4244-4581-3
  • Electronic_ISBN
    1095-2055
  • Type

    conf

  • DOI
    10.1109/ICCCN.2009.5235312
  • Filename
    5235312