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MS-CDG: An Efficient Cluster-Based Data Gathering Using Mobile Sink in Wireless Sensor Networks

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Inventive Communication and Computational Technologies (ICICCT 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 757))

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Abstract

The fundamental task of wireless sensor networks is data gathering. Clustering aims at gaining load balancing and extended network lifetime. Clustering schemas and trajectory optimizations are effective methods for last decade which are found as the strategies to boost the energy efficiency in the sensor network environment. The clustering reduces energy hole issues or funeral effect by disseminating the aggregated or collected data to sink node or destination terminal through the elected cluster heads. Static sink maximizes the multihop transmissions within the sensor network and frequently results in energy hole problem, which significantly drops the energy in sensor nodes near the sink. The suggested schema not only enhances the network lifespan by efficient selection of cluster head with equal-sized cluster formation but also improves the data gathering mechanism through the mobile sink concept. The protocol is simulated using MATLAB for various parameters, and it is observed that the novel proposed methodology exceeds the conventional protocol regards to energy consumption and network lifetime.

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Author information

Authors and Affiliations

  1. Hindustan Institute of Technology and Science, Chennai, India

    Nami Susan Kurian & B. Rajesh Shyamala Devi

Authors
  1. Nami Susan Kurian
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  2. B. Rajesh Shyamala Devi
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Corresponding author

Correspondence to Nami Susan Kurian .

Editor information

Editors and Affiliations

  1. Department of Electronics and Communication Engineering, Gnanamani College of Technology, Namakkal, Tamil Nadu, India

    G. Ranganathan

  2. Department of Computer Science (HUMAIN-Lab), International Hellenic University, Thessaloniki, Greece

    George A. Papakostas

  3. Information Systems and Operations Management (ISEG), University of Lisbon, Lisboa, Portugal

    Álvaro Rocha

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kurian, N.S., Rajesh Shyamala Devi, B. (2023). MS-CDG: An Efficient Cluster-Based Data Gathering Using Mobile Sink in Wireless Sensor Networks. In: Ranganathan, G., Papakostas, G.A., Rocha, Á. (eds) Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_21

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