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In WSN, the clustering technique can be used to reduce the traffic in the network and it can be predominantly used to minimize the utilization of energy in the network, thus it leads to the multipath routing which increases the reliability of the network throughout the available paths. Since clustering is an effective and apt way on providing a better route that transmits data without any conflicts. However, in the concept of clustering, the selection of Cluster Head (CH) is considered as a complex process as it has to satisfy certain parameters for effectual performance. In this research work, a novel CH selection approach is developed based on a new optimization algorithm referred to as the Intensity-based Cuckoo Search Algorithm (I-CSA), which is an extended version of standard Cuckoo Search Algorithm (CSA). The optimized CH selection is done by I-CSA that considers the triplet objective function like delay, energy, and distance. Finally, the efficiency of the presented work is evaluated over other conventional works in terms of energy, alive nodes as well.

I-CSA based Cluster Head Selection Model in Wireless Sensor Network