Enhanced Energy Harvesting Irregular Repetition Slotted ALOHA for Wireless Sensors Networks

Abstract

In this paper, an enhanced energy-harvesting irregular repetition slotted ALOHA (EEH-IRSA) is proposed for wireless sensors networks (WSNs). We consider that each sensor device has a finite-sized battery that is recharged by the harvested energy from the environment in a probabilistic manner. The performance of the proposed EEH-IRSA is analyzed by using the density evolution (DE) method and the optimal degree distribution for different battery capacity is obtained by using the differential evolution algorithm. Simulation results show that the throughput of the proposed EEH-IRSA scheme can achieve 1.14 packets/slot, which is about 44.5% larger than that of the traditional EH-IRSA.