Enhanced heuristic algorithm-based energy-aware resource optimization for cooperative IoT

Abstract

This paper develops an intelligent resource optimization model in cooperative IoT. For this criterion, optimal power allocation and optimal relay selection are the two main objective functions. An improved meta-heuristic algorithm called Fitness Adaptive-Bird Swarm Algorithm (FA-BSA) is used for optimal power allocation and optimal relay selection. The experiment is done for cooperative multi-hop network topology. The optimal resource allocation is done by minimizing the total transmit power, and optimal relay selection is performed by satisfying the Quality of Service (QoS) requirements. Hence, the achievement of the energy-efficient protocol is successful. The simulation results have proved the competitive performance of the proposed model by comparing it with the conventional models in terms of throughput and energy efficiency.