• DocumentCode
    3018867
  • Title

    Performance evaluation of a compression algorithm for wireless sensor networks in monitoring applications

  • Author

    Silva, Ivanovitch M D ; Guedes, Luiz Affonso ; Vasques, Francisco

  • Author_Institution
    Dept. of Engeneering Comput. & Autom., Fed. Univ. of Rio Grande do Norte, Natal
  • fYear
    2008
  • fDate
    15-18 Sept. 2008
  • Firstpage
    672
  • Lastpage
    678
  • Abstract
    Wireless sensor network (WSN) is an emerging technology that targets multiple applications in the different environments. Its infrastructure is composed of a large number of sensor nodes with a limited physical capacity and low cost. The energy consumption must be as optimized as possible in order to extend its lifetime. The use of data compression techniques can be an advantage in the WSN context, once these techniques eliminate transmission of redundant information and consequently can be adopted to minimize the consumption of energy in the sensor nodes. WSN for monitoring applications can benefit from this technique as it may maximize the lifetime of batteries. The main motivation of this paper is to investigate the performance of a data compression algorithm for WSN in the context of monitoring applications. To validate the proposal, simulation experiments have been performed using the Network Simulator (NS-2) tool.
  • Keywords
    data compression; monitoring; wireless sensor networks; WSN; data compression technique; energy consumption optimisation; lifetime maximization; monitoring application; network simulator tool; performance evaluation; wireless sensor network; Application software; Automation; Batteries; Compression algorithms; Computerized monitoring; Data communication; Data compression; Energy consumption; Proposals; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies and Factory Automation, 2008. ETFA 2008. IEEE International Conference on
  • Conference_Location
    Hamburg
  • Print_ISBN
    978-1-4244-1505-2
  • Electronic_ISBN
    978-1-4244-1506-9
  • Type

    conf

  • DOI
    10.1109/ETFA.2008.4638468
  • Filename
    4638468