On efficient message passing in energy harvesting based distributed system

Energy harvesting systems recycling energy from ambient environment for extended lifetime have been proposed to be the next step in the evolution of the Internet of Things. One of the largest challenges of energy harvesting is the insufficiency and instability of ambient energy sources. Unlike wireless distributed systems considered to date, frequent power failures need to be taken into account in designing energy-efficient transmission strategies. In this paper, we propose a message passing method between energy harvesting nodes, which predicts the probability of success before message passing and adjusts transmission strategy online according to input power trace. Experimental result shows that our method can reduce energy consumption of transmission significantly compared to traditional ones and keeps effective for various kinds of unstable input power.