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Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey

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Abstract

This paper covers the basics of fault diagnosis in wireless sensor networks, as well as fault diagnosis terminology, sensor fault classification, causes and effects, and fault diagnosis performance metrics. In recent years, it has been observed that a large variety of fault diagnosis techniques have been proposed by researchers. The existing fault diagnosis methods for sensor networks can be divided into three categories: centralised, distributed, and hybrid approach. This paper gives a detailed review of state-of-the-art wireless sensor network fault diagnosis approaches. It specifically discusses some existing automated fault detection and diagnosis approaches in wireless sensor networks, as well as their benefits and drawbacks.

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  1. Department of Computer Science and Engineering, Indian Institute of Technology, Kanpur, Uttar Pradesh, India

    Rakesh Ranjan Swain

  2. Department of Computer Science and Engineering, Birla Institute of Technology and Science Pilani, K.K. Birla Goa Campus, Sancoale, 403726, Goa, India

    Tirtharaj Dash

  3. Department of Computer Science and Engineering, National Institute of Technology, Rourkela, 769008, Odisha, India

    Pabitra Mohan Khilar

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Swain, R.R., Dash, T. & Khilar, P.M. Automated Fault Diagnosis in Wireless Sensor Networks: A Comprehensive Survey. Wireless Pers Commun 127, 3211–3243 (2022). https://doi.org/10.1007/s11277-022-09916-3

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