• DocumentCode
    548352
  • Title

    An efficient algorithm to maximize the network lifetime for target coverage

  • Author

    Fotouhi, Azade ; Razzazi, Mohammadreza

  • Author_Institution
    Dept. of Comput. Eng. & IT, Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    523
  • Lastpage
    527
  • Abstract
    A critical aspect of applications with wireless sensor networks is network lifetime. Therefore, judicious power management and scheduling can effectively extend operational time. One way to prolong the network lifetime is to divide the network into cover sets, where each cover set is capable of monitoring all targets. In this paper, we propose a novel and efficient algorithm which considers both residual energy and overlapping target to generate the maximum number of cover sets. Additionally, the algorithm can generate both disjoint and non-disjoint cover sets. Also, the proposed algorithm does not need information about targets which each sensor covers, or the sensors which a target is covered by them, in advance. Through simulation, we show that the proposed algorithm outperforms other similar algorithms in term of execution time, while it produces comparable results in term of number of generated cover sets.
  • Keywords
    computational geometry; object detection; power aware computing; sensor placement; wireless sensor networks; cover sets; efficient algorithm; network lifetime; overlapping target; power management; residual energy; scheduling; target coverage; wireless sensor networks; Algorithm design and analysis; Complexity theory; Heuristic algorithms; Monitoring; Radiation detectors; Wireless sensor networks; computational geometry; cover set; network lifetime; target coverage; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    MIPRO, 2011 Proceedings of the 34th International Convention
  • Conference_Location
    Opatija
  • Print_ISBN
    978-1-4577-0996-8
  • Type

    conf

  • Filename
    5967112