• DocumentCode
    2134719
  • Title

    Multi-state Fault Tolerant Topology Control Algorithm for Wireless Sensor Networks

  • Author

    Forghani, Azadeh ; Rahmani, Amir Masoud

  • Author_Institution
    Comput. Eng. Dept., Islamic Azad Univ., Tehran, Iran
  • Volume
    1
  • fYear
    2008
  • fDate
    13-15 Dec. 2008
  • Firstpage
    433
  • Lastpage
    436
  • Abstract
    Topology control and energy saving is one of the most important challenges in wireless ad hoc sensor networks. There are two approaches for conserve energy in topology control algorithms. First by adjusting a node¿s transmission power and second manipulating a node¿s state. In this paper, multi-state k-fault tolerant topology control algorithm is presented using clustering technique to manage k different paths. This algorithm uses both approaches; first by reduction in transmission power of nodes to minimum possible power and second by activate and deactivate different existing paths between sensor nodes and base stations in each cluster, periodically based on QoS provisions and energy cost. Our algorithm then saves battery power of nodes by scheduling sleep intervals for nodes in inactive paths. Through network simulation, we show that our algorithm decreases average consumed energy and improves network lifetime.
  • Keywords
    ad hoc networks; quality of service; scheduling; telecommunication congestion control; telecommunication network topology; wireless sensor networks; QoS provisions; ad hoc networks; energy cost; energy saving; multistate fault tolerant topology control algorithm; nodes transmission power reduction; scheduling sleep intervals; wireless sensor networks; Base stations; Batteries; Clustering algorithms; Communication system control; Costs; Fault tolerance; Network topology; Power control; Sleep; Wireless sensor networks; Fault Tolerant; Multi-state; Topology Control; Wireless Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Generation Communication and Networking, 2008. FGCN '08. Second International Conference on
  • Conference_Location
    Hainan Island
  • Print_ISBN
    978-0-7695-3431-2
  • Type

    conf

  • DOI
    10.1109/FGCN.2008.126
  • Filename
    4734138