• DocumentCode
    2496626
  • Title

    Efficient self protection algorithms for static wireless sensor networks

  • Author

    Yu Wang ; Xiang-Yang Li ; Qian Zhang

  • Author_Institution
    Univ. of North Carolina at Charlotte, Charlotte
  • fYear
    2007
  • fDate
    26-30 Nov. 2007
  • Firstpage
    931
  • Lastpage
    935
  • Abstract
    Wireless sensor networks have been widely used in many surveillance applications. Due to the importance of sensor nodes in such applications, certain level of protection needs to be provided to them. We study the self protection problem for static wireless sensor networks in this paper. Self protection problem focuses on using sensor nodes to provide protection to themselves instead of the target objects or certain target area, so that the sensor nodes can resist the attacks targeting on them directly. A wireless sensor network is p-self-protected, if for any wireless sensor there are at least p active sensors that can monitor it. The problem finding minimum p-self-protection is NP-complete and no efficient self protection algorithms have been proposed. In this paper, we provide efficient centralized and distributed algorithms with constant approximation ratio for minimum p-self-protection problem. In addition, we design efficient distributed algorithms to not only achieve p-self-protection but also maintain the connectivity of all active sensors. Our simulation confirms the performances of proposed algorithms.
  • Keywords
    computational complexity; surveillance; wireless sensor networks; NP-complete; active sensors; distributed algorithms; p-self-protection; self protection algorithms; sensor nodes; static wireless sensor networks; surveillance; target objects; Algorithm design and analysis; Asia; Distributed algorithms; Fault tolerance; Monitoring; Protection; Resists; Sensor systems; Surveillance; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1042-2
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2007.179
  • Filename
    4411089