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International Conference on Advanced Computing Networking and Informatics pp 225–236Cite as

Energy-Efficient Clustering in Wireless Sensor Network with Mobile Sink

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 870))

Abstract

Energy efficiency is a main concern for clustering–routing protocols in wireless sensor networks. A recent work has proposed a clustering technique for WSNs in which sink moves along a circular path, but it suffers from the hot-spot problem. This paper suggests how to solve this issue. To achieve uniform distribution of energy a ping-pong strategy is adopted. Cluster heads are elected according to a potential which is a combination of the proportional residual energy of a node with respect to its neighbours and its distance from the path of sink. Cluster formation is done based on a cost factor. The proposed method achieves a longer lifetime due to energy saving as demonstrated in simulation experiments.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Rajasthan College of Engineering for Women (RCEW), Ajmer Road, Bhankrota, Jaipur, Rajasthan, India

    Sonakshi Soni & Saumya Bajpai

Authors
  1. Sonakshi Soni
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  2. Saumya Bajpai
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Corresponding author

Correspondence to Sonakshi Soni .

Editor information

Editors and Affiliations

  1. Medi-Caps University, Indore, Madhya Pradesh, India

    Raj Kamal

  2. Loughborough University, Loughborough, UK

    Michael Henshaw

  3. Medi-Caps Group of Institutions, Indore, Madhya Pradesh, India

    Pramod S. Nair

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© 2019 Springer Nature Singapore Pte Ltd.

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Soni, S., Bajpai, S. (2019). Energy-Efficient Clustering in Wireless Sensor Network with Mobile Sink. In: Kamal, R., Henshaw, M., Nair, P. (eds) International Conference on Advanced Computing Networking and Informatics. Advances in Intelligent Systems and Computing, vol 870. Springer, Singapore. https://doi.org/10.1007/978-981-13-2673-8_25

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  • DOI: https://doi.org/10.1007/978-981-13-2673-8_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2672-1

  • Online ISBN: 978-981-13-2673-8

  • eBook Packages: EngineeringEngineering (R0)

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