• DocumentCode
    2670784
  • Title

    Improved Cluster Heads Selection Method in Wireless Sensor Networks

  • Author

    Wang, Yaqiong ; Wang, Qi ; Jin, Ziyu ; Saxena, Navrati

  • Author_Institution
    Sch. of Inf. & Commun. Eng., Sungkyunkwan Univ., Suwon, South Korea
  • fYear
    2010
  • fDate
    18-20 Dec. 2010
  • Firstpage
    368
  • Lastpage
    373
  • Abstract
    Wireless sensor networks have become one of the most tempting networking technologies since it can be deployed without the need of a communication infrastructure. In general, there are some major concerns with this technology. That is, sensor node should have a long lasting system lifetime. And the system should keep the livability of nodes in a received level during the using process. In such systems node´s energy, which is the main factor, is used to select cluster-heads. In this paper, we gave a new method called LEACH-improve, discussed the relation between the energy, the cluster and coverage together. And we compared the simulation result with the LEACH and HYENAS methods. This mode could serve a better solution scheme for solving cluster-heads selection problem in sensor network.
  • Keywords
    routing protocols; wireless sensor networks; HYENAS method; LEACH-improve method; cluster head selection; communication infrastructure; low energy adaptive clustering hierarchy; network coverage; networking technology; routing protocol; sensor node; system lifetime; systems node energy; wireless sensor network; Base stations; Clustering algorithms; Energy consumption; Mathematical model; Sensors; Simulation; Wireless sensor networks; WSN; cluster; cluster-head; coverage; energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Green Computing and Communications (GreenCom), 2010 IEEE/ACM Int'l Conference on & Int'l Conference on Cyber, Physical and Social Computing (CPSCom)
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-9779-9
  • Electronic_ISBN
    978-0-7695-4331-4
  • Type

    conf

  • DOI
    10.1109/GreenCom-CPSCom.2010.99
  • Filename
    5724854