An integrated metaheuristic technique based energy aware clustering protocol for Internet of Things based smart classroom

Abstract

With an advancement in wireless technologies, Internet of Things (IoT) are becoming popular in modern era because of its wide range of applications. In this paper, an IoT enable smart classroom is considered. However, IoT nodes are battery constrained, therefore, development and implementation of energy efficiency IoT based smart classroom turn out be more challenging issue. Recently, many clustering and inter-cluster data aggregation techniques are implemented to minimize the energy consumption of IoT devices. However, designing an energy aware IoT protocol is defined as a NP-hard problem. Therefore, many researchers have utilized various metaheuristic techniques to implement energy aware protocol. However, generally metaheuristic techniques suffer from various issues such as pre-mature convergence, stuck in local optima, poor convergence speed, etc. Therefore, in this paper, an integrated multi-objective optimization is designed for IoT based smart classroom by considering ant colony optimization and crossover operator. The proposed technique is used to improve the inter-cluster data aggregation of IoT based smart classroom. Extensive experiments are performed by considering various performance metrics. Comparative analyses show that the proposed protocol achieves remarkably significant results as compared to the competitive techniques.