An improved levy chaotic particle swarm optimization algorithm for energy-efficient cluster routing scheme in industrial wireless sensor networks

In the last few years, with the persistent improvement of Industrial Wireless Sensor Networks (IWSNs), the application of Industrial Internet of Things (IIoT) has ended up progressively far reaching. However, in IWSNs, the sensor nodes have limited energy and lifespan, so how to build an efficient routing protocol has become an important issue. Cluster routing is a good way to make the network use less energy and last longer. In this paper, an improved levy chaotic particle swarm optimization-based cluster routing protocol (LCPSO-CRP) is proposed creatively for IWSNs, which effectively prolongs system lifetime. Then, a chaotic optimization strategy is designed, which greatly improves convergence speed and expands search space of LCPSO-CRP. In a serial of comparative experiment, LCPSO-CRP has advantages over existing protocols due to its distinctive utilization of both levy flight strategy and chaotic optimization strategy. In addition, this paper proposes a new efficient clustering routing model for IWSNs, considering the intra-cluster distance, base station distance, cluster heads energy, and the cluster members energy. To evaluate the effectiveness of the protocol, new extensive experiments are conducted, reflecting actual industrial scenario exactly. Experimental results demonstrate that compared with traditional cluster routing protocols including LEACH, LEACH-C, SEP, DEEC, and LEACH-kmeans, the energy consumption with LCPSO-CRP has decreased by 22.91% at least, and the network lifetime of IWSNs has increased by 13.93% at least.