Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers

Research Article

A Parallel Paths Communication Technique for Energy Efficient Wireless Sensor Networks

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  • @INPROCEEDINGS{10.1007/978-3-642-11723-7_5,
        author={Balasaravanan Venugopal and Gayathri Venkataraman and Thambipillai Srikanthan},
        title={A Parallel Paths Communication Technique for Energy Efficient Wireless Sensor Networks},
        proceedings={Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers},
        proceedings_a={ADHOCNETS},
        year={2012},
        month={7},
        keywords={Wireless Networks Clustering methods Energy efficiency},
        doi={10.1007/978-3-642-11723-7_5}
    }
    
  • Balasaravanan Venugopal
    Gayathri Venkataraman
    Thambipillai Srikanthan
    Year: 2012
    A Parallel Paths Communication Technique for Energy Efficient Wireless Sensor Networks
    ADHOCNETS
    Springer
    DOI: 10.1007/978-3-642-11723-7_5
Balasaravanan Venugopal1,*, Gayathri Venkataraman1,*, Thambipillai Srikanthan1,*
  • 1: Nanyang Technological University
*Contact email: bala0016@ntu.edu.sg, gayathri_venkat@pmail.ntu.edu.sg, astsrikan@ntu.edu.sg

Abstract

A wireless sensor network is a network consisting of spatially distributed autonomous devices using sensors to cooperatively monitor physical or environmental conditions. As sensor networks are large in scale, grouping techniques are required to tackle their scalability issues. The limited energy reserves of the autonomous devices require grouping techniques to be energy-aware and strive to extend the life time of the network. In this paper we propose an energy efficient group communication technique that aims at reducing the energy drain of the group leader nodes and the network as a whole. In our method we introduce a technique for energy efficient packet transfer and define methods to reduce the communication hot-spots in the network. Through the proposed method, we achieve around twenty five percent savings in energy consumption when compared to LEACH method for communication.