Multi-objective-Trust Aware Improved Pelican Optimization Approach for Secure and Energy Efficient Clustering and Routing in Wireless Sensor Network

Wireless Sensor Networks (WSNs) have multitudinous Sensor Nodes (SN) with low-power, low-cost, and miniature characteristics.These nodes are data-centric and responsible for gathering appropriate data in the target area and they transmit to the control centre or Base Station (BS) in a single-hop or multi-hop manner.However, WSN faces certain difficulties like security enhancement and energy optimization due to their limited resources, working environments, and communication characteristics to provide network security.This research proposes a Multiobjective-Trust Aware Improved Pelican Optimization Approach (M-TAIPOA) to achieve a secure and energyefficient clustering and routing process.POA is enhanced using sine chaos mapping, the fusion of Sine Cosine Optimization (CSO) and levy flight strategy for enhancing search diversity, convergence accuracy, and to jump out of local optima.M-TAIPOA selects Secure Cluster Head (SCH) based on node degree, distance among the neighbour nodes, location factor, distance between BS and CH, and trust.Then, distance and energy are used for the secure routing process.M-TAIPOA achieves a lower energy consumption of 4.5J for 10 rounds for scenario 3 when compared to the existing technique, Energy Optimization Routing by utilizing an improved Artificial Bee Colony (EOR-iABC).