Study on Relay Selection Strategy for Energy Harvesting WSN based on ACPSO Algorithm

Abstract

Considering the problems of network lifetime and energy replenishment in wireless sensor network (WSN), a Power Beacon (PB) assisted energy harvesting Simultaneous wireless information and power transfer (SWIPT) multi-relay system model is proposed. Under the condition that the relay node has the characteristics of capturing the energy of the source node and PB signal, the system throughput of the target node using the maximum ratio combining technology is derived. Then, the problem model is established under multiple constraints to ensure the communication quality of service, and a relay selection strategy based on the adaptive chaotic particle swarm optimization (ACPSO) algorithm is proposed to optimize the system throughput. Simulation and numerical results show that PB transmission power, time switching (TS) factor, power splitting (PS) factor, and other parameters have a significant impact on throughput performance. Compared with the random relay selection (RS) strategy, the proposed strategy can achieve greater throughput gain, and it is proved that the ACPSO algorithm can quickly and effectively optimize network throughput.