ue 16(8): e1

Research Article

Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks

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  • @ARTICLE{10.4108/eai.18-5-2016.151249,
        author={Rivo S. A. Randriatsiferana and Herimpitia T. C. Antilahy and Frederic Alicalapa and Richard Lorion},
        title={Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks},
        journal={EAI Endorsed Transactions on Future Internet},
        volume={3},
        number={8},
        publisher={EAI},
        journal_a={UE},
        year={2016},
        month={5},
        keywords={binary greedy forwarding, cluster-based, energy-balance, network lifetime, self-organization, wireless sensor},
        doi={10.4108/eai.18-5-2016.151249}
    }
    
  • Rivo S. A. Randriatsiferana
    Herimpitia T. C. Antilahy
    Frederic Alicalapa
    Richard Lorion
    Year: 2016
    Weighted Route Selection in Cluster-Based Protocol forWireless Sensor Networks
    UE
    EAI
    DOI: 10.4108/eai.18-5-2016.151249
Rivo S. A. Randriatsiferana1,*, Herimpitia T. C. Antilahy1, Frederic Alicalapa1, Richard Lorion1
  • 1: University of La Reunion, LE2P Laboratory, Saint Denis, Reunion, France
*Contact email: rivo.randriatsiferana@univ-reunion.fr

Abstract

The efficiency of wireless sensor network is highly based on the algorithm complexity of the communication protocol which must minimize the energy dissipated by the sensor nodes. In order to pursue energy consumption minimization, this paper presents Weighted Route Selection (WeRoS) in Cluster-Based method, which uses multihop communication for data forwarding from cluster-head (CH) to the base station as a unique path. WeRoS takes also into account the remaining energy of a node and its coefficient of variation during CHs selection process. A novel-scheduling algorithm is also proposed, in which the CHs can selforganize themselves during the data transmission phase. This algorithm is executed in the cluster formation phase, in order to avoid another phase of route discovery and to conserve energy, while considering the node memory constraint. Complexity analysis and simulation results show that WeRoS can efficiently balance the energy consumption and extends the network lifetime.