• DocumentCode
    2659566
  • Title

    The coverage problem for myopic sensors

  • Author

    Aly, Mohamed ; Pruhs, Kirk ; Znati, Taieb ; Hunsaker, Brady

  • Author_Institution
    Dept. of Comput. Sci., Pittsburgh Univ., PA, USA
  • Volume
    2
  • fYear
    2005
  • fDate
    13-16 June 2005
  • Firstpage
    964
  • Abstract
    The objective of the coverage problem is to organize the monitoring of targets by sensors in an energy efficient manner so as to maximize the lifetime of coverage. We consider the coverage problem in a network of myopic sensors, such as video sensors and acoustic sensors, which are only able to cover one target at any one time. We show how to formulate the problem of finding the lifetime as a linear program. We show that the actual coverage schedule can be found by iteratively finding maximum cardinality matchings in the underlying weighted bipartite graph, where the weights are derived from the solution of the linear program. We show experimentally that this algorithm is practical for moderate sized instances, depending on various properties of the instance.
  • Keywords
    iterative methods; linear programming; wireless sensor networks; coverage problem; iterative methods; myopic sensors; weighted bipartite graph; Acoustic sensors; Bipartite graph; Computer science; Computerized monitoring; Energy efficiency; Iterative algorithms; Kirk field collapse effect; Large-scale systems; Optimal scheduling; Scheduling algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Networks, Communications and Mobile Computing, 2005 International Conference on
  • Print_ISBN
    0-7803-9305-8
  • Type

    conf

  • DOI
    10.1109/WIRLES.2005.1549543
  • Filename
    1549543