Enhanced Chaotic Political Optimizer based Power Management Scheme for Clustered Wireless Sensor Networks

Authors

  • Paruchuri Srinivas, Dr. P. Swapna

DOI:

https://doi.org/10.17762/msea.v71i3.384

Abstract

The recent advancements in wireless sensor networks (WSN) have enabled the smart environment to offer pervasive real-time applications in a variety of domains, including transportation, healthcare, industry, and the internet of things. Wireless sensor networks (WSN) are becoming increasingly popular in smart environments (IoT). Because the sensor nodes in a WSN are powered by an internal battery unit, effective power management solutions are required to ensure that the network continues to function for an extended period of time. Clustering is a crucial technique for achieving the best possible power management and network longevity in a WSN environment. The selection of appropriate CHs is a critical component of the clustering process, and this can be accomplished through the use of metaheuristics. In this regard, this paper presents an enhanced chaotic political optimizer-based power management (ECPO-PM) strategy for clustered wireless sensor networks (WSNs). The goal of the ECPO-PM technique is to pick the CHs in the most efficient manner while also reducing power consumption through inter-cluster communication. The ECPO algorithm, in addition, is formed from the merging of the classic PO algorithm with the chaotic based initialization notion, which results in the ECPO algorithm. Also included is the development of a fitness function that incorporates three parameters, including residual energy, distance to neighbours, and node degree. In order to investigate the improved performance of the ECPO-PM technique, a wide range of experimental evaluations were carried out in the NS-3 simulator, and the findings obtained revealed that it outperformed previous state-of-the-art approaches in terms of overall performance by a large factor.

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Published

2022-08-09

How to Cite

Dr. P. Swapna, P. S. (2022). Enhanced Chaotic Political Optimizer based Power Management Scheme for Clustered Wireless Sensor Networks. Mathematical Statistician and Engineering Applications, 71(3), 1096 –. https://doi.org/10.17762/msea.v71i3.384

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Articles