PRESEP: Cluster Based Metaheuristic Algorithm for Energy-Efficient Wireless Sensor Network Application in Internet of Things

A metaheuristic approach based hybrid data routing algorithm is proposed in this paper for energy-efficient wireless sensor network (WSN) applications in Internet of Things (IoT). High speed generation of network demands more IoT enabled services and platforms. Swarm optimization in route finding is integrated with an energy-efficient heuristic method to obtain an improved data routing algorithm for heterogeneous WSN. Particle swarm optimized Residual Energy Stable Election Protocol (PRESEP) simulation yields prolonged network lifetime, and stable cluster formation with balanced energy utilization. PRESEP protocol minimizes the cluster head (CH) selection cycle as an outcome of reactive protocol benefits of easy global search of swarm optimization for sustainable data routing in energy-efficient cluster based heterogeneous WSN. Enhancing the CH selection of developed residual energy based model with meta heuristic optimization is achieved with the incremented round of operations for varied heterogeneity factor. Support for heterogeneous WSN with various network sizes is evaluated and it outperformed previous heterogeneous algorithm in terms of network lifetime, alive nodes, and reduced energy consumption with a minimum number of repeated CH selection processes.