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Immune Inspired Fault Diagnosis in Wireless Sensor Network

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Nature Inspired Computing for Wireless Sensor Networks

Part of the book series: Springer Tracts in Nature-Inspired Computing ((STNIC))

Abstract

Scientist and researchers have shown higher interest in the development of biologically inspired algorithms in recent years, to solve multiple complex computational problems. Different solutions were proposed by various authors using artificial immune system (AIS), ant colony optimization (ACO), particle swarm optimization (PSO), artificial bee colony (ABC) algorithm, and genetic algorithm (GA). Fault diagnosis in wireless sensor network (WSN) is very crucial because of the application where it is used. The issue of fault diagnosis in wireless sensor network can be comparable in many aspects with an artificial immune system. Different approaches to artificial immune system have been discussed in this chapter that can be applied to fault diagnosis of wireless sensor network. An overall view of the biological immune system is explained in detail. Different artificial immune system’s applications are also discussed.

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Author information

Authors and Affiliations

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

    Santoshinee Mohapatra & Pabitra Mohan Khilar

Authors
  1. Santoshinee Mohapatra
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  2. Pabitra Mohan Khilar
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Corresponding author

Correspondence to Santoshinee Mohapatra .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Maulana Abul Kalam Azad University, Kolkata, West Bengal, India

    Debashis De

  2. Department of Computer Science and Engineering, Institute of Engineering and Management, Kolkata, West Bengal, India

    Amartya Mukherjee

  3. School of Computer Science and Engineering, National Institute of Science and Technology, Berhampur, Odisha, India

    Santosh Kumar Das

  4. Department of Information Technology, Techno India College of Technology, Kolkata, India

    Nilanjan Dey

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Mohapatra, S., Khilar, P.M. (2020). Immune Inspired Fault Diagnosis in Wireless Sensor Network. In: De, D., Mukherjee, A., Kumar Das, S., Dey, N. (eds) Nature Inspired Computing for Wireless Sensor Networks. Springer Tracts in Nature-Inspired Computing. Springer, Singapore. https://doi.org/10.1007/978-981-15-2125-6_6

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  • DOI: https://doi.org/10.1007/978-981-15-2125-6_6

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-2124-9

  • Online ISBN: 978-981-15-2125-6

  • eBook Packages: EngineeringEngineering (R0)

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