Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India

Research Article

Consensus based Data Transfer in Wireless Sensor Network for Reliability Interpretation

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  • @INPROCEEDINGS{10.4108/eai.7-6-2021.2308782,
        author={R  Jaichandran and P  ShyamalaBharathi and D.Pushgara  Rani and V K G  Kalaiselvi and Sujesh P Lal},
        title={Consensus based Data Transfer in Wireless Sensor Network for Reliability Interpretation },
        proceedings={Proceedings of the First International Conference on Computing, Communication and Control System, I3CAC 2021, 7-8 June 2021, Bharath University, Chennai, India},
        publisher={EAI},
        proceedings_a={I3CAC},
        year={2021},
        month={6},
        keywords={route reliability convergence time wsn},
        doi={10.4108/eai.7-6-2021.2308782}
    }
    
  • R Jaichandran
    P ShyamalaBharathi
    D.Pushgara Rani
    V K G Kalaiselvi
    Sujesh P Lal
    Year: 2021
    Consensus based Data Transfer in Wireless Sensor Network for Reliability Interpretation
    I3CAC
    EAI
    DOI: 10.4108/eai.7-6-2021.2308782
R Jaichandran1,*, P ShyamalaBharathi2, D.Pushgara Rani3, V K G Kalaiselvi4, Sujesh P Lal5
  • 1: Professor, Department of Computer Science and Engineering,Aarupadai Veedu Institute of Technology,Vinayaka Mission’s Research Foundation (Deemed to be University), Chengalpattu, India
  • 2: Assistant Professor, Department of Electronics and Communication Engineering,Saveetha School of Engineering, Chennai, India
  • 3: Assistant Professor, Department of Electronics and Communication Engineering, Sri Sai Ram Institute of Technology, Chennai, India
  • 4: Assistant Professor, Department of Information Technology,Sri Sai Ram Engineering College, Chennai, India
  • 5: Assistant Professor (Special Grade), Department of Computer Applications,Federal Institute of Science and Technology, Ernakulam, India
*Contact email: rjaichandran@gmail.com

Abstract

Resilience of a network varies in an adaptive manner and consensus has to be reached involving the resources available. The internal consistency is a governing factor which is taken using Coefficient Alpha value as series of composite values across each path from source sensor to the sink. The deviations below the threshold limit indicate the path is not appropriate and source sensor has to isolate the interconnected sensor by proper scheduling.Thus the steady state stability to associate with scalability and link metrics is proposed in this work. Simulation platform has been used to validate the performance of flow level analysis across convergence time using Network Simulator-2.