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A Multi-clustering Approach to Achieve Energy Efficiency Using Mobile Sink in WSN

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Computational Intelligence in Data Mining

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 556))

Abstract

A wireless sensor network (WSN) consists of a large number of interconnected sensors, which provides unique features to visualize the real world scenario. It explores many opportunities in the field of research due to its wide range of applications in current fields that require survey and periodic monitoring which is inevitable in our daily life. However, the main limitations of such sensors are their resource constrained nature, mainly to conserve battery power for extending the network lifetime. We have proposed an algorithm for energy efficiency in WSN in which mobile sink node is used to operate the routing process considering the shortest path between multiple unequal clusters with reduced energy. This model also ensures non-occurrences of energy hole problems within the network area.

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Authors and Affiliations

  1. Department of CSE, Silicon Institute of Technology, Bhubaneswar, India

    Samaleswari Pr. Nayak

  2. Department of IT, Silicon Institute of Technology, Bhubaneswar, India

    S. C. Rai

  3. Department of Computer Science, North Orissa University, Baripada, India

    Sipali Pradhan

Authors
  1. Samaleswari Pr. Nayak
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  2. S. C. Rai
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  3. Sipali Pradhan
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Corresponding author

Correspondence to Samaleswari Pr. Nayak .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering & Information Technology, Veer Surendra Sai University of Technology, Sambalpur, Odisha, India

    Himansu Sekhar Behera

  2. Department of CSE, National Institute of Technology (NIT), Rourkela, Odisha, India

    Durga Prasad Mohapatra

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Nayak, S.P., Rai, S.C., Pradhan, S. (2017). A Multi-clustering Approach to Achieve Energy Efficiency Using Mobile Sink in WSN. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-10-3874-7_75

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  • DOI: https://doi.org/10.1007/978-981-10-3874-7_75

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3873-0

  • Online ISBN: 978-981-10-3874-7

  • eBook Packages: EngineeringEngineering (R0)

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