• DocumentCode
    3118093
  • Title

    An Unequal Clustering Algorithm for an Emergency Response Wireless Sensor Network

  • Author

    Gunathillake, Ashanie ; Samarasinghe, K.

  • Author_Institution
    Dept. of Electron. & Telecommun. Eng., Univ. of Moratuwa, Moratuwa, Sri Lanka
  • fYear
    2013
  • fDate
    11-13 Dec. 2013
  • Firstpage
    383
  • Lastpage
    388
  • Abstract
    Wireless sensor networks may contain hundreds or thousands number of sensor nodes, monitoring specified parameters in the environment. These sensor nodes have the ability to communicate with each other or directly to an external base station. Current clustering algorithms provide an effective way to prolong the network lifetime. However, gathering information and communicating with each other is crucial in an emergency situation. To address this problem, the paper proposes an emergency response unequal clustering algorithm for wireless sensor networks. The proposed algorithm has been able to utilize the energy usage of the network with the novel approach in unequal clustering. Furthermore, this addresses the node failures in an emergency situation. The simulation result shows that the proposed algorithm has optimized the energy usage and reduce the communication failure compared to other existing algorithms.
  • Keywords
    emergency management; telecommunication network reliability; wireless sensor networks; communication failure reduction; emergency response unequal clustering algorithm; emergency response wireless sensor network; external base station; network energy usage; network lifetime; node failures; sensor nodes; Algorithm design and analysis; Clustering algorithms; Emergency services; Energy states; Equations; Mathematical model; Wireless sensor networks; Energy Efficiency; Node failures; Unequal clustering; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Ad-hoc and Sensor Networks (MSN), 2013 IEEE Ninth International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-5159-3
  • Type

    conf

  • DOI
    10.1109/MSN.2013.19
  • Filename
    6726361