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An Energy Efficient Clustering and Routing Approach for Wireless Sensor Networks
M. Muthuselvi
Because of issues like energy consumption and network longevity, the ability to transport data through the network via a better path appears to be a significant component of Wireless Sensor Networks (WSN). So far, much effort has been expended to improve network routing through the clustering approach since it is a quick and straightforward solution to give a better route that transfers data without conflict. Cluster Head Selection (CHS) is a complex operation in the clustering idea since it must meet specified performance requirements. If proper clustering is not performed, the network will suffer from network failures as well as energy depletion. To overcome these difficulties, this paper presents an Energy Efficient Clustering and Routing (EECR) strategy for WSNs. The proposed system employs the Kestrel-bird (Kbird) Search Algorithm model to successfully send a greater number of packets to the base station. An energy-efficient multipath routing strategy using the habit of ants (m-path ant colony routing) is suggested to give good resilient pathways from source to destination to solve the constraints faced by resource-constrained sensors. The proposed method is evaluated using a variety of performance metrics like delay, throughput, network lifetime, packet loss. The proposed routing algorithm results in a 19% increase in network lifetime.
Keywords: WSN, ant colony, Kbird, energy efficient, network lifetime
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DOI: 10.32908/ahswn.v54.9185