• DocumentCode
    2883731
  • Title

    An Optimal Sensor Network for Intrusion Detection

  • Author

    Olteanu, Alina ; Xiao, Yang ; Wu, Kui ; Du, Xiaojiang

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Alabama, Tuscaloosa, AL, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Wireless sensor networks have been widely used in environment and habitat monitoring, as well as in military applications such as battlefield surveillance. In this paper, we focus on detecting intruders in such surveillance systems. Our goal is to optimize the network coverage when the network is deployed to detect an intrusion object with the shape of a disc or a rectangle. We study how the size and shape of the intrusion object influence the configuration of the sensor network. We prove many mathematical results related to detection probability and intrusion coverage intensity and study the asymptotic properties of these detection metrics. We also study the problem of maximizing network lifetime under some QoS constraints. We prove the existence of the solution and derive the explicit form of the solution under certain conditions.
  • Keywords
    probability; quality of service; security of data; surveillance; telecommunication security; wireless sensor networks; QoS; battlefield surveillance; environment monitoring; habitat monitoring; intrusion detection; intrusion object; network lifetime; optimal sensor network; surveillance systems; wireless sensor networks; Computer science; Event detection; Intelligent sensors; Intrusion detection; Object detection; Quality of service; Scheduling algorithm; Shape; Surveillance; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5198738
  • Filename
    5198738