sis 18: e16

Research Article

Fault Detection in Wireless Sensor Network Based on Deep Learning Algorithms

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  • @ARTICLE{10.4108/eai.3-5-2021.169578,
        author={R. Regin and S. Suman Rajest and Bhopendra Singh},
        title={Fault Detection in Wireless Sensor Network Based on Deep Learning Algorithms},
        journal={EAI Endorsed Transactions on Scalable Information Systems: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={SIS},
        year={2021},
        month={5},
        keywords={Wireless sensor network, Fault detection, Convolution neural network, convex hull, Naive-Bayes, performance metrics and energy efficiency},
        doi={10.4108/eai.3-5-2021.169578}
    }
    
  • R. Regin
    S. Suman Rajest
    Bhopendra Singh
    Year: 2021
    Fault Detection in Wireless Sensor Network Based on Deep Learning Algorithms
    SIS
    EAI
    DOI: 10.4108/eai.3-5-2021.169578
R. Regin1,*, S. Suman Rajest2, Bhopendra Singh3
  • 1: Assistant Professor, Department of Information Technology, Adhiyamaan College of Engineering, Tamil Nadu, India
  • 2: Researcher, Vels Institute of Science, Technology & Advanced Studies (VISTAS), Chennai, Tamil Nadu, India
  • 3: Associate Professor, Amity University, Dubai
*Contact email: regin12006@yahoo.co.in

Abstract

This paper is about Fault detection over a wireless sensor network in a fully distributed manner. First, we proposed the Convex hull algorithm to calculate a set of extreme points with the neighbouring nodes and the duration of the message remains restricted as the number of nodes increases. Second, we proposed a Naïve Bayes classifier and convolution neural network (CNN) to improve the convergence performance and find the node faults. Finally, we analyze convex hull, Naïve bayes and CNN algorithms using real-world datasets to identify and organize the faults. Simulation and experimental outcomes retain feasibility and efficiency and show that the CNN algorithm has better-identified faults than the convex hull algorithm based on performance metrics.