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Design and Analysis of Fuzzy Logic and Neural Network Based Transmission Power Control Techniques for Energy Efficient Wireless Sensor Networks

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Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 327))

Abstract

In this paper, we present transmission power control algorithms, based on soft computing techniques, for reducing the energy consumption in wireless sensor network, without affecting its throughput. Two algorithms are designed, one using Artificial Neural Network (ANN) and the other using Fuzzy Logic Control (FLC). The algorithms show marked improvement in performance when compared to the conventional Medium Access Control protocol standard IEEE 802.15.4. We also show the effects of optimizing the proposed methods further using Genetic Algorithm

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Authors and Affiliations

  1. Dept. of Instrumentation Engineering, MIT Campus, Anna University, Chennai, India

    Ramakrishnan Sabitha, Krishna T. Bhuma & Thangavelu Thyagarajan

Authors
  1. Ramakrishnan Sabitha
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  2. Krishna T. Bhuma
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  3. Thangavelu Thyagarajan
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Corresponding author

Correspondence to Ramakrishnan Sabitha .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Anil Neerukonda Institute of Technology and Sciences, Vishakapatnam, Andhra Pradesh, India

    Suresh Chandra Satapathy

  2. Bhubaneswar Engineering College, Bhubaneswar, Odisha, India

    Bhabendra Narayan Biswal

  3. University of Hyderabad, Hyderabad, Andhra Pradesh, India

    Siba K. Udgata

  4. Department of Computer Science and Engineering, University of Kalyanai, Faculty of Engg., Tech. & Management, Kalyanai, West Bengal, India

    J.K. Mandal

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Sabitha, R., Bhuma, K.T., Thyagarajan, T. (2015). Design and Analysis of Fuzzy Logic and Neural Network Based Transmission Power Control Techniques for Energy Efficient Wireless Sensor Networks. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_32

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  • DOI: https://doi.org/10.1007/978-3-319-11933-5_32

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11932-8

  • Online ISBN: 978-3-319-11933-5

  • eBook Packages: EngineeringEngineering (R0)

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