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A Meta-heuristic Based Clustering Mechanism for Wireless Sensor Networks

Publication Type : Book Article

Publisher : Springer International Publishing

Source : Communications in Computer and Information Science

Url : https://doi.org/10.1007/978-3-031-12641-3_27

Campus : Coimbatore

School : School of Computing

Year : 2022

Abstract :

Wireless Sensor Networks are usually the application specific networks that consists of nodes which gathers some data from its surrounding environment continuously or intermittently based on user specifications. In practical use case scenarios, WSNs will consist of densely populated sensor nodes where each node will have a greater number of neighboring nodes. Establishing direct communication with more neighboring nodes results high energy consumption because large transmission power is required. To overcome the most critical issue of poor network lifetime, efficient use of energy resources is required. The goal of the proposed study is to create an efficient cluster head selection model based on Ant Colony Optimization technique that helps to save energy and extend network lifetime by selecting cluster heads wisely.

Cite this Research Publication : M. P. Nidhish Krishna, K. Abirami, A Meta-heuristic Based Clustering Mechanism for Wireless Sensor Networks, Communications in Computer and Information Science, Springer International Publishing, 2022, https://doi.org/10.1007/978-3-031-12641-3_27

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