• DocumentCode
    3079562
  • Title

    Connectivity-Based Distributed Coverage Hole Detection in Wireless Sensor Networks

  • Author

    Yan, Feng ; Martins, Philippe ; Decreusefond, Laurent

  • Author_Institution
    Network & Comput. Sci. Dept., TELECOM ParisTech, Paris, France
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Coverage is considered as an important measure of quality of service provided by a wireless sensor network (WSN). Yet, coverage holes may appear in the target field due to random deployment, depletion of sensor power or sensor destruction. Discovering the boundaries of coverage holes is important for patching the sensor network. In this paper, we adopt two types of simplicial complexes called Cech complex and Rips complex to capture coverage holes and classify coverage holes to be triangular and non-triangular. A distributed algorithm with only connectivity information is proposed for non-triangular holes detection. Some hole boundary nodes are found first and some of them initiate the process to detect coverage holes. Simulation results show that the area percentage of triangular holes is always below 0.03% when the ratio between communication radius and sensing radius of a sensor is two. It is also shown that our algorithm can discover most non-triangular coverage holes.
  • Keywords
    distributed algorithms; quality of service; wireless sensor networks; Cech complex; Rips complex; WSN; communication radius; connectivity-based distributed coverage hole detection; distributed algorithm; hole boundary node; nontriangular hole detection; quality of service; sensing radius; sensor destruction; sensor power depletion; wireless sensor network; Broadcasting; Computational modeling; Distributed algorithms; IEEE Communications Society; Peer to peer computing; Sensors; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6134128
  • Filename
    6134128