• DocumentCode
    484984
  • Title

    The Condition for Probabilistic Connectivity in Wireless Sensor Networks

  • Author

    Su, Han ; Wang, Yun ; Shen, Zhuowei

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Southeast Univ., Nanjing
  • Volume
    1
  • fYear
    2008
  • fDate
    6-8 Oct. 2008
  • Firstpage
    78
  • Lastpage
    82
  • Abstract
    Wireless sensor networks (WSN) have attracted a lot attention recently. How to maintain the properties of both the full coverage and the connectivity is a hot research topic. The current research results proved that a WSN is connected when the target area is fully covered and Rc (sensor´s transmission radius) is larger than twice of Rs (sensor´s sensing radius). In this paper, we propose a new concept of one-hop-neighbor Eohn. With Eohn, we conclude that a WSN is probabilistically connected when the target area is fully covered by random deployment and RcgesalphaRs(1<alpha<2). The paper further studies the relationship among deployment density, the ratio of Rc to Rs, and Eohn. The analytical results provide basic requirement for topology control in WSNs, and can also be used in routing algorithms to adjust transmission radius dynamically.
  • Keywords
    probability; random processes; wireless sensor networks; one-hop-neighbor Eohn concept; probabilistic connectivity; random deployment; wireless sensor network; Algorithm design and analysis; Biomedical monitoring; Communication system traffic control; Computer networks; Computer science; Maintenance engineering; Network topology; Routing; Sensor systems; Wireless sensor networks; Connectivity; Coverage; Sensing Radius; Transmission Radius; Wireless Sensor Network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pervasive Computing and Applications, 2008. ICPCA 2008. Third International Conference on
  • Conference_Location
    Alexandria
  • Print_ISBN
    978-1-4244-2020-9
  • Electronic_ISBN
    978-1-4244-2021-6
  • Type

    conf

  • DOI
    10.1109/ICPCA.2008.4783653
  • Filename
    4783653