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Cluster Head Selection in Wireless Sensor Network Using Bio-Inspired Algorithm
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DOI：10.1109/tencon.2019.8929440.png)
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Routing and Clustering are the two major issues in Wireless Sensor Networks (WSNs) as these measures play a vital role during data transmission. Small battery-powered sensor nodes have an unadorned impact on communication protocols due to severe energy constraints. In clustering, cluster heads are often overloaded with heavy traffic than other members of the cluster. This creates a hotspot problem on a cluster head near to the base station. This is the primary reason to select a proper cluster head in a clustered based routing protocol. In this paper, we have applied the bio-inspired algorithm such as Genetic Algorithm to handle the energy-specific issues in Wireless Sensor Networks. By doing so, we have selected an energy-efficient cluster head that creates an energy-optimized environment leading to a longer Network lifetime. The Proposed Protocol is experimented through a Java-based Custom Simulator, which shows its superiority over traditional computing model in LEACH and K-Means Clustering.
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WSN
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Genetic Algorithm
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