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Multi-attributes based energy efficient clustering for enhancing network lifetime in WSN’s

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Abstract

State-of-the-art technologies are upcoming due to innovation and its implications in various domains. Wireless sensor networks playing vital role and energy consumption is considered as an important issues in this domain. All the IoT based applications needs to be multi-objective and optimized for improved performance, we can’t deny the fact that WSN plays an important role in every technologies as sensors were involved for collecting and sensing environment. Many solutions were given regarding the power utilization. Clustering is one such important solutions for efficient energy utilization. The extensive evolution of clustering algorithms leads to increase network lifetime, efficient energy consumption but because of many conflicting attributes that affects the efficiency of clustering that needs to be optimized such as residual energy, BS connectivity, distance of BS-CH’s, etc. and it required proper co-ordination. Our work proposes Multi-Attribute Decision Making (MADM) based Cluster Heads (CH’s) selection for enhancing network lifetime and efficient energy consumptions. We have considered a total 20 attributes, and co-ordination among these attributes has been done by using MADM approaches which selects optimal CHs for increasing network lifetime of WSN. Our results validate that our proposed algorithms performs better than EECH, LEACH-C, and LEACH in rapports of energy efficiency and optimal load-balanced among the sensor nodes. Also enhancement in network lifetime due to efficient energy consumption in proposed work.

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Acknowledgements

Authors would like to give sincere thanks to the editor and the anonymous reviewers for their useful suggestion to improve the quality of this work.

The First author is thankful for UGC-BHU-NET fellowship. The Second Author is grateful for IoE grant of Banaras Hindu University.

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  1. Department of Computer Science, Institute of Science, Banaras Hindu University, Varanasi, India

    Ankita Srivastava & Pramod Kumar Mishra

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Ankita Srivastava has proposed and simulate the experiment and P.K Mishra review and modify the final manuscript.

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Srivastava, A., Mishra, P.K. Multi-attributes based energy efficient clustering for enhancing network lifetime in WSN’s. Peer-to-Peer Netw. Appl. 15, 2670–2693 (2022). https://doi.org/10.1007/s12083-022-01357-w

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