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OA-PU Algorithm-to Enhance WSN Life Time with Cluster Head Selection

D. Nageswari1,*, R. Maheswar2, P. Jayarajan1

1 Department of ECE, Sri Krishna College of Technology, Kovaipudur, Tamil Nadu, 641042, India
2 School of EEE, VIT Bhopal University, Bhopal, Madhya Pradesh, 466114, India

* Corresponding Author: D. Nageswari. Email: email

Intelligent Automation & Soft Computing 2022, 33(2), 711-727. https://doi.org/10.32604/iasc.2022.022270

Abstract

Clustering is the most popular strategy for increasing the lifetime of a wireless sensor network, which immediately leads to a stronger routing process. This process requires the processing of sensor nodes into clusters and assigning relevant cluster heads to each cluster. This paper aims to implement a new hybrid algorithm called Over taker Assisted Political Update (OA-PU) for selecting an efficient cluster head. This cluster head is selected based upon four factors, namely energy, distance, cluster radius, and time. The hybrid algorithm is a combination of the Fusion Rider Optimization Algorithm (F-ROA) as well as a nature-inspired Political Optimization Algorithm (PO). Fusion-ROA depends on groups of riders that are attempting to reach the goal and PO is a state of the art meta-heuristic optimization methodology for global and structural analysis performance prediction in the WSN environment. In terms of alive node analysis, cost function analysis, and energy analysis, the proposed OA-PU outperforms conventional approaches. Consequently, the lifetime of WSN is increased and an optimal system is developed.

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Cite This Article

D. Nageswari, R. Maheswar and P. Jayarajan, "Oa-pu algorithm-to enhance wsn life time with cluster head selection," Intelligent Automation & Soft Computing, vol. 33, no.2, pp. 711–727, 2022. https://doi.org/10.32604/iasc.2022.022270



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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