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Hybrid Genetic Algorithm–Differential Evolution Approach for Localization in WSN

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Intelligent Engineering Informatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 695))

Abstract

Nature-inspired algorithms have the characteristics to learn and decide and to be adaptable, intelligent, and robust, and so they can be used for solving complex problems. This paper deals with one such algorithm named hybrid genetic algorithm–differential evolution for localization in wireless sensor network. This algorithm is used to estimate the position of sensor node. A novel hybrid algorithm is analyzed, designed, and implemented. This algorithm provides better accuracy and is simple to implement.

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Author information

Authors and Affiliations

  1. Faculty of Information and Communication Engineering, Anna University, Chennai, India

    P. Srideviponmalar

  2. Department of Electronics and Communication Engineering, Anna University, Chennai, India

    V. Jawahar Senthil Kumar

  3. School of Electrical and Electronics Engineering, Sathyabama University, Chennai, India

    R. Harikrishnan

Authors
  1. P. Srideviponmalar
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  2. V. Jawahar Senthil Kumar
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  3. R. Harikrishnan
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Corresponding author

Correspondence to P. Srideviponmalar .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, SRMGPC, Lucknow, Uttar Pradesh, India

    Vikrant Bhateja

  2. Departamento de Computación, CINVESTAV-IPN, Mexico City, Mexico

    Carlos A. Coello Coello

  3. Department of Computer Science and Engineering, PVP Siddhartha Institute of Technology, Vijayawada, Andhra Pradesh, India

    Suresh Chandra Satapathy

  4. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Srideviponmalar, P., Jawahar Senthil Kumar, V., Harikrishnan, R. (2018). Hybrid Genetic Algorithm–Differential Evolution Approach for Localization in WSN. In: Bhateja, V., Coello Coello, C., Satapathy, S., Pattnaik, P. (eds) Intelligent Engineering Informatics. Advances in Intelligent Systems and Computing, vol 695. Springer, Singapore. https://doi.org/10.1007/978-981-10-7566-7_27

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  • DOI: https://doi.org/10.1007/978-981-10-7566-7_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7565-0

  • Online ISBN: 978-981-10-7566-7

  • eBook Packages: EngineeringEngineering (R0)

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