• DocumentCode
    3574430
  • Title

    ERPT based reliable data dissemination in Wireless Sensor Network

  • Author

    Subburam, M. ; Nandhakumar, R.

  • Author_Institution
    Dept. of Comput. Technol., Anna Univ., Chennai, India
  • fYear
    2014
  • Firstpage
    276
  • Lastpage
    280
  • Abstract
    Reprogramming is a critical problem in Wireless Sensor Network (WSN). Each cluster head receive a different form of data among individual sensor nodes and from other neighborhood cluster head, which leads to loss in accuracy of data. Multihop transmission to the base station will cause loss in actually sensed data. In this paper, Enhanced Reprogramming Technique (ERPT) is to maximize accuracy of data with minimum energy utilization. In our approach, two levels of aggregations are performed. One is an intra-cluster aggregation within the cluster head and inter-cluster head aggregation are performed from one cluster head to another cluster head. It improves network lifetime by reducing the amount of traffic among individual sensor nodes to the base station because sensor nodes are resource constraints. Increasing number of nodes among sensor network will maximize the accurate data, but it leads to more energy consume. This will be improved by enhanced reprogramming. The proposed technique addresses the scalability issues with minimized energy consumption compared to traditional approaches.
  • Keywords
    information dissemination; pattern clustering; telecommunication power management; telecommunication traffic; wireless sensor networks; ERPT based data dissemination reliability; WSN; base station; energy consumption; enhanced reprogramming technique; intercluster head aggregation; intracluster aggregation; multihop transmission; traffic reduction; wireless sensor network; Computational modeling; Indexes; Lead; Monitoring; Wireless communication; Wireless sensor networks; WSN; aggregation; multihop; reprogramming;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing (ICoAC), 2014 Sixth International Conference on
  • Print_ISBN
    978-1-4799-8466-4
  • Type

    conf

  • DOI
    10.1109/ICoAC.2014.7229725
  • Filename
    7229725