Secure and Energy Aware Cluster based Routing using Trust Centric – Multiobjective Black Widow Optimization for large scale WSN

Wireless Sensor Network (WSN) is a promising approach that developed for wide range of applications due to its low installation cost. However, the nodes in WSN are susceptible different security threats, because these located hostile or harsh environments. Moreover, an inappropriate selection routing path affects data delivery WSN. The important goal this paper obtain secure transmission while minimizing energy consumption. In paper, Trust Centric - Multiobjective Black Widow Optimization (TC-MBWO) proposed Secure Cluster Head (SCH) from large-scale generated by using TC-MBWO, which factors considered cost function are: residual energy, distance, trust and node degree. Therefore, secured clustering achieved provides resistance against malicious simultaneously consumption also minimized identifying shortest path. TC-MBWO method analyzed terms alive nodes, dead consumption, throughput, network lifetime. Here, compared with existing methods such as Low Energy Adaptive Clustering Hierarchy (LEACH), Particle Swarm Grey Wolf Optimizer (PSO-GWO), Particle-Water Wave (P-WWO) Particle-based Spider Monkey (P-SMO). 70 2800 rounds higher number when PSO-GWO, P-WWO P-SMO.