• DocumentCode
    3117514
  • Title

    DyKCo: Dynamic k-coverage in wireless sensor networks

  • Author

    Yahyavi, Amir ; Roostapour, Laleh ; Aslanzadeh, Roohollah ; Yazdani, Nasser

  • Author_Institution
    ECE Dept., Univ. of Tehran, Tehran
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2804
  • Lastpage
    2809
  • Abstract
    In Wireless Sensor Networks maintaining complete coverage over an area is one of the fundamental problems. The network must be able to provide the requested coverage while maximizing the network lifetime through scheduling sleep for extraneous nodes. The network should also be able to configure itself to provide different levels of coverage for different applications. In this paper we present DyKCo, a probabilistic method to provide dynamic k-coverage on the area of an event. Our proposed method creates 1-coverage on the whole sensing area and creates k-coverage on the area of a detected event. Our simulations show that we can achieve very high energy savings and high coverage which result in longer network lifetime and higher accuracy. Due to probabilistic nature of our approach it needs much less communication than similar methods to provide k-coverage.
  • Keywords
    probability; telecommunication network reliability; wireless sensor networks; DyKCo method; dynamic k-coverage; energy saving; network lifetime; probabilistic method; wireless sensor network; Batteries; Biosensors; Event detection; Intelligent sensors; Quality of service; Sensor phenomena and characterization; Sleep; Surveillance; Vehicle dynamics; Wireless sensor networks; Intelligent Sensor; Sleep Scheduling; Wireless Sensor networks; k-Coverage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811721
  • Filename
    4811721