Novel Butterfly Optimization Algorithm-Based Secure Node Selection Strategy for Wireless Sensor Network

Wireless Sensor Networks (WSNs) allow new applications and necessitate non traditional routing design paradigms due to several constraints. A long network lifetime requires minimal device complexity and low energy consumption, which requires a proper balance between communication and signal/data processing capabilities. The objective of this paper is to increase the network lifetime while minimizing overall energy. Currently, clustering and routing algorithms are widely used in WSNs to increase the network lifetime. The Butterfly Optimization Algorithm (BOA) is used in this work to select the best cluster head from a set of nodes. The cluster head is chosen based on the nodes residual energy, node degree, node centrality and space to the base station and neighbours. Comparing the existing methodology to current algorithms BOA, BOA exposures that it outperformed LEACH PRO and EECHIGWO in terms of network lifetime, throughput, delay and energy consumption.