• DocumentCode
    2119586
  • Title

    Proactive Stealthiness for Wireless Sensor Networks

  • Author

    Zhang, Wenzhe ; Wang, Yihuai ; Li, Ying ; Li, Minglu

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Soochow Univ., Suzhou, China
  • fYear
    2010
  • fDate
    24-26 Dec. 2010
  • Firstpage
    232
  • Lastpage
    235
  • Abstract
    Field surveillance is one of the most important applications for wireless sensor networks. Many sensors are deployed in a region of concern to detect any potential targets. On the contrary, intelligent target finds out the deployed sensors to destroy for fear of being detected and leads to defunct surveillance. Due to the importance of sensor nodes, it is necessary to hide them from the scope of target. In this paper, we introduce Proactive Stealthiness as the natural immune system covered on sensor networks. We model the stealthiness problem, and propose a distributed marking algorithm based on Breadth-First Spanning Tree. Different from previous works which only introduce self protection to wireless sensor networks, we not only maintain the connectivity of all dominating sensors but achieve the minimum hops of urgent message to gateway. This makes the method proposed more practical and sensible. Extensive simulation confirms the performance of algorithms proposed and Experimental result manifests the feasibility and efficiency.
  • Keywords
    surveillance; trees (mathematics); wireless sensor networks; breadth-first spanning tree; distributed marking algorithm; field surveillance; natural immune system; proactive stealthiness; sensor nodes; wireless sensor networks; Algorithm design and analysis; Intelligent sensors; Logic gates; Surveillance; Wireless sensor networks; breadth-first spanning tree; lay generation; marking; proactive stealthiness; wireless sensor network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ISISE), 2010 International Symposium on
  • Conference_Location
    Shanghai
  • ISSN
    2160-1283
  • Print_ISBN
    978-1-61284-428-2
  • Type

    conf

  • DOI
    10.1109/ISISE.2010.62
  • Filename
    5945091