• DocumentCode
    1935544
  • Title

    Optimal deployment and replenishment of monitoring wireless sensor networks

  • Author

    Dorsey, David ; Kam, Moshe

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Drexel Univ., Philadelphia, PA, USA
  • fYear
    2010
  • fDate
    Oct. 31 2010-Nov. 3 2010
  • Firstpage
    136
  • Lastpage
    141
  • Abstract
    Wireless Sensor Networks (WSNs) composed of inexpensive devices allow the possibility of large deployments aimed at monitoring remote, or possibly hostile, areas. However, due to the unique traffic patterns exhibited by monitoring sensor networks, the lifetime of a large WSN is constrained by the burden placed on nodes near the sink node to forward additional traffic as more nodes are deployed. We discuss approaches for deploying a WSN that will maximize the lifetime of an initial deployment. We then consider cases where the mission lifetime is of a duration such that overdeploying an initial network to meet this mission criteria would become prohibitively expensive. We then propose a replenishment control framework where additional nodes are added to an initial deployment in consecutive batches in order to meet mission lifetimes while reducing cost. The control framework consists of a failure process model used to forecast sensor failures due to energy depletion, and a two-stage limited lookahead controller used to determine the number of nodes to be added to the network and the approximate locations of their deployment.
  • Keywords
    computerised monitoring; failure analysis; forecasting theory; telecommunication network reliability; telecommunication traffic; wireless sensor networks; WSN; cost reduction; energy depletion; failure process model; mission lifetime; monitoring sensor networks; optimal deployment; remote monitoring; replenishment control framework; sensor failures forecast; sink node; two-stage limited lookahead controller; unique traffic patterns; wireless sensor networks monitoring; Aggregates; Monitoring; Peer to peer computing; Predictive models; Resource management; Smoothing methods; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MILITARY COMMUNICATIONS CONFERENCE, 2010 - MILCOM 2010
  • Conference_Location
    San Jose, CA
  • ISSN
    2155-7578
  • Print_ISBN
    978-1-4244-8178-1
  • Type

    conf

  • DOI
    10.1109/MILCOM.2010.5680140
  • Filename
    5680140