ew 18: e1

Research Article

An Energy Efficient Node Scheduling based Congestion Control Scheme for WSN Multicasting

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  • @ARTICLE{10.4108/eai.13-7-2018.164178,
        author={G. Raja Vikram and K. Shahu Chatrapati and A.V.N. Krishna},
        title={An Energy Efficient Node Scheduling based Congestion Control Scheme for WSN Multicasting},
        journal={EAI Endorsed Transactions on Energy Web: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={EW},
        year={2020},
        month={4},
        keywords={Wireless Sensor Network, Congestion Control, WSN Multicast, Energy Efficiency, Node Scheduling},
        doi={10.4108/eai.13-7-2018.164178}
    }
    
  • G. Raja Vikram
    K. Shahu Chatrapati
    A.V.N. Krishna
    Year: 2020
    An Energy Efficient Node Scheduling based Congestion Control Scheme for WSN Multicasting
    EW
    EAI
    DOI: 10.4108/eai.13-7-2018.164178
G. Raja Vikram1,*, K. Shahu Chatrapati2, A.V.N. Krishna3
  • 1: Asst. Professor, Department of CSE, Vignan Institute of Technology & Science, Hyderabad, Telangana, India
  • 2: Professor, Department of CSE, J.N.T.U.H College of Engineering, Manthani, Telangana, India
  • 3: Professor, Department of CSE, CHRIST (Deemed to be University), Bangalore, Karnataka, India
*Contact email: grajavikram@gmail.com

Abstract

Wireless Sensor Network (WSN) is the most preferred technology for communication in resource constrained environments. They offer high-quality data propagation with limited delay. Sensor Network can be established with the help of self-configurable nodes to monitor various physical phenomenon. Multicasting in WSN results in low communication control overhead but may lead to congestion, which results in data loss, redundant transmissions, poor throughput and reduced network lifetime. In this paper, we propose a protocol to estimate the Degree of Congestion (CD) at each node to ensure load balance and avoid further congestion within the network. It is demonstrated that the proposed scheme is better compared with existing congestion control schemes in terms of end-to-end delay and energy efficiency.