Trust Aware Multi-Objective Metaheuristic Optimization Based Secure Route Planning Technique for Cluster Based IIoT Environment

Industrial Internet of Things (IIoT) finds use in several industrial applications like robots, medical devices, and software-defined manufacturing processes. Apart from the promising benefits IIoT networks, challenging issues need to be resolved, such as network connectivity, security, privacy, heterogeneity, scheduling, energy efficiency. Due large-scale deployment heterogeneity nodes some energy-limited have existed resulting reduced lifetime. At same time, security privacy are also considered major that exist design IIoT, which can addressed using secure routing techniques. In this view, study develops a trust-aware multiobjective metaheuristic optimization-based clustering with route planning (TAMOMO-SCRP) technique for cluster-based environment. The presented TAMOMO-SCRP mainly focuses on bald eagle search (BES) algorithm proposed model derives fitness function accomplishing maximum efficiency security. For an effective process, designs objective involving four parameters trust level (TL), communication cost (CC), residual (RE), node degree (ND). Besides, selection process is based two variables, namely, queue length link quality. assessing enhanced performance model, wide range experiments were carried out get outcomes life time(NLT) 39451,half die (HND) 25950 Stability period (SP) 8000 time calculated no. alive nodes. achieved make sure better against other recent approaches.