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An Improved BAT-Optimized Cluster-Based Routing for Wireless Sensor Networks

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Intelligent Computing and Applications

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 343))

Abstract

The tiny, battery-powered sensor nodes of the wireless sensor networks (WSNs) sense and send reports to a processing center called sink or base station. The sensor nodes require more energy while gathering information for longer durations. This study proposes a protocol heterogeneous in energy which analyzes basic distributed clustering routing protocol low-energy adaptive clustering hierarchy (LEACH) with BAT optimization algorithm to be used for cluster formation and cluster-head (CH) selection. Pipelining is used for packet scheduling. Simulations show that the energy consumption gets reduced significantly.

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Author information

Authors and Affiliations

  1. UCEK, JNTUK, Kakinada, Andhra Pradesh, India

    Koteswararao Seelam & M. Sailaja

  2. SIET, Narsapur, West Godavari, AndhraPradesh, India

    T. Madhu

Authors
  1. Koteswararao Seelam
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  2. M. Sailaja
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  3. T. Madhu
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Corresponding author

Correspondence to Koteswararao Seelam .

Editor information

Editors and Affiliations

  1. Electronics & Communication Engineering, NIT, Durgapur, Durgapur, West Bengal, India

    Durbadal Mandal

  2. Electronics & Communication Engineering, NIT, Durgapur, Durgapur, West Bengal, India

    Rajib Kar

  3. Machine Intelligence Unit, ISI, Kolkata, West Bengal, India

    Swagatam Das

  4. Electrical Engineering, IIT Delhi, New Delhi, India

    Bijaya Ketan Panigrahi

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Seelam, K., Sailaja, M., Madhu, T. (2015). An Improved BAT-Optimized Cluster-Based Routing for Wireless Sensor Networks. In: Mandal, D., Kar, R., Das, S., Panigrahi, B. (eds) Intelligent Computing and Applications. Advances in Intelligent Systems and Computing, vol 343. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2268-2_13

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  • DOI: https://doi.org/10.1007/978-81-322-2268-2_13

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-2267-5

  • Online ISBN: 978-81-322-2268-2

  • eBook Packages: EngineeringEngineering (R0)

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