• DocumentCode
    3333336
  • Title

    FEDA: Fault-tolerant Energy-Efficient Data Aggregation in wireless sensor networks

  • Author

    Anisi, Mohammad Hossein ; Rezazadeh, Javad ; Dehghan, Mehdi

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Azad Univ. of Qazvin, Qazvin
  • fYear
    2008
  • fDate
    25-27 Sept. 2008
  • Firstpage
    188
  • Lastpage
    192
  • Abstract
    One of the key issues in wireless sensor networks is data collection from sensors .In this area, data aggregation is an important technique for reducing the energy consumption. Also, reliability and robustness of transferring data is one of the important challenges. The in-network data aggregation approach which is proposed in this paper, besides achieving ideal energy consumption by limiting a number of redundant and unnecessary responses from the sensor nodes, it can increase the chance of receiving data packets at the destination and cause to a more accurate results. By utilization of J-Sim simulator, the proposed approach is compared and evaluated with some important approaches in this area. The simulation results show that by using the proposed approach, the loss amount of the data packets and the average energy consumption of network will be considerably reduced.
  • Keywords
    telecommunication network reliability; wireless sensor networks; J-Sim simulator; average energy consumption; data packets; fault-tolerant energy-efficient data aggregation; sensor nodes; wireless sensor networks; Aggregates; Computer networks; Energy consumption; Energy efficiency; Error correction; Fault tolerance; Java; Robustness; Technical Activities Guide -TAG; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software, Telecommunications and Computer Networks, 2008. SoftCOM 2008. 16th International Conference on
  • Conference_Location
    Split
  • Print_ISBN
    978-953-6114-97-9
  • Electronic_ISBN
    978-953-290-009-5
  • Type

    conf

  • DOI
    10.1109/SOFTCOM.2008.4669477
  • Filename
    4669477