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Cluster Head Selection and Multipath Routing Based Energy Efficient Wireless Sensor Network

T. Shanmugapriya1,*, Dr. K. Kousalya2

1 Department of Information Technology, SNS College of Technology, Coimbatore, 641035, India
2 Department of Computer Science and Engineering, Kongu Engineering College, Erode, 638060, India

* Corresponding Author: T. Shanmugapriya. Email: email

Intelligent Automation & Soft Computing 2023, 36(1), 879-894.


The Wireless Sensor Network (WSN) is a network of Sensor Nodes (SN) which adopt radio signals for communication amongst themselves. There is an increase in the prominence of WSN adaptability to emerging applications like the Internet of Things (IoT) and Cyber-Physical Systems (CPS). Data security, detection of faults, management of energy, collection and distribution of data, network protocol, network coverage, mobility of nodes, and network heterogeneity are some of the issues confronted by WSNs. There is not much published information on issues related to node mobility and management of energy at the time of aggregation of data. Towards the goal of boosting the mobility-based WSNs’ network performance and energy, data aggregation protocols such as the presently-used Mobility Low-Energy Adaptive Clustering Hierarchy (LEACH-M) and Energy Efficient Heterogeneous Clustered (EEHC) scheme have been examined in this work. A novel Artificial Bee Colony (ABC) algorithm is proposed in this work for effective election of CHs and multipath routing in WSNs so as to enable effective data transfer to the Base Station (BS) with least energy utilization. There is avoidance of the local optima problem at the time of solution space search in this proposed technique. Experimentations have been conducted on a large WSN network that has issues with mobility of nodes.


Cite This Article

T. Shanmugapriya and D. K. Kousalya, "Cluster head selection and multipath routing based energy efficient wireless sensor network," Intelligent Automation & Soft Computing, vol. 36, no.1, pp. 879–894, 2023.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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