| Summary: | Wireless Sensor Networks (WSNs) comprise of a number of sensor nodes that are capable of sensing and aggregating the datafrom the monitoring environment. However, the process of recharging the limited energy sensor node batteries are highlydifficult during adverse situations. This limitation of sensor nodes greatly crumbles the network lifetime to a maximum degreeand degrades the level of reliable data dissemination. In this paper, a Novel Individual Updating Strategies-based HybridElephant Herding Optimization Algorithm (NIUS-HEHOA) is planned for facilitating energy balanced cluster head selectionfor the objective of extending the network lifetime. It included energy-aware optimization process during the clusteringschemes, since it is considered as a solution to the significant NP complete optimization problem. It is propounded as a swarmintelligent algorithms are identified to be the most applicable candidate for energy optimization that leads to significantimprovement in network lifetime. It is contributed to maintain the deviation between exploitation and exploration such thatleast potential sensor nodes are prevented from being chosen as cluster heads. The simulation experiments confirmed that theproposed NIUS-HEHOA scheme is better than the benchmarked schemes in terms of alive nodes, dead nodes, residual energy,network lifetime and throughput.
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