Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III

Research Article

Optimized FZ-LEACH Using Exponential Weighted Moving Average for Wireless Sensor Network

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  • @INPROCEEDINGS{10.1007/978-3-642-27317-9_48,
        author={K. Ramesh and K. Somasundaram},
        title={Optimized FZ-LEACH Using Exponential Weighted Moving Average for Wireless Sensor Network},
        proceedings={Advances in Computer Science and Information Technology. Computer Science and Information Technology. Second International Conference, CCSIT 2012, Bangalore, India, January 2-4, 2012. Proceedings, Part III},
        proceedings_a={CCSIT PART  III},
        year={2012},
        month={11},
        keywords={Wireless Sensor Network (WSN) Exponential weighted Moving Average (EWMA)},
        doi={10.1007/978-3-642-27317-9_48}
    }
    
  • K. Ramesh
    K. Somasundaram
    Year: 2012
    Optimized FZ-LEACH Using Exponential Weighted Moving Average for Wireless Sensor Network
    CCSIT PART III
    Springer
    DOI: 10.1007/978-3-642-27317-9_48
K. Ramesh1,*, K. Somasundaram2,*
  • 1: Nandha Engineering College
  • 2: Arupadai Veedu Institute of Technology
*Contact email: rameshk.me@gamil.com, soms72@yahoo.com

Abstract

Wireless Sensor Network (WSN), fundamentally opportunistic communication system, where communication links only exist temporally rendering. It is impossible to establish end to end connection for data delivery. In such network, routing is largely based on nodal contact probability. The basic idea of this WSN is to distribute the group mobile node with similar mobility pattern into a cluster. A new energy efficient clustering protocol OFZ-LEACH, which eliminates the above problem by forming Far-Zone. Far-Zone is a group of sensor nodes which are placed at locations where their energies are less than a threshold an Exponentially Weighted Moving Average (EWMA) scheme is employed for on-line updating nodal contact. Based on this, nodal contact probabilities, the set of functions are used. This function is used for clustering formation and gateway selection.