• DocumentCode
    144328
  • Title

    Energy Efficient Grid Based Clustering and Routing Algorithms for Wireless Sensor Networks

  • Author

    Jannu, Srikanth ; Jana, Prasanta K.

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Indian Sch. of Mines, Dhanbad, India
  • fYear
    2014
  • fDate
    7-9 April 2014
  • Firstpage
    63
  • Lastpage
    68
  • Abstract
    Energy conservation of the sensor nodes is the most important issue that has been studied extensively in the design of wireless sensor networks (WSNs). In many applications, the nodes closer to the sink are overburdened with huge traffic load as the data from the entire region are forwarded through them to reach to the sink. As a result, their energy get exhausted quickly and the network is partitioned. This is commonly known as hot spot problem. In this paper, we address the hot spot problem and present grid based clustering and routing algorithms by considering the energy efficiency of the WSN. The algorithms are tested with various scenarios of WSN and experimental results show that the proposed algorithms perform better than the existing ones in terms of network life time, energy consumption and number of dead sensor nodes.
  • Keywords
    pattern clustering; telecommunication network routing; telecommunication power management; wireless sensor networks; WSN; dead sensor nodes; energy conservation; energy consumption; energy efficiency; energy efficient grid based clustering; hot spot problem; network life time; network traffic load; routing algorithms; wireless sensor networks; Algorithm design and analysis; Approximation algorithms; Clustering algorithms; Energy consumption; Energy efficiency; Routing; Wireless sensor networks; Wireless sensor network; clustering; routing; energy consumption; network life time.;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communication Systems and Network Technologies (CSNT), 2014 Fourth International Conference on
  • Conference_Location
    Bhopal
  • Print_ISBN
    978-1-4799-3069-2
  • Type

    conf

  • DOI
    10.1109/CSNT.2014.245
  • Filename
    6821358