Maximizing Common Data Rate of collection Tree in Energy-Harvesting Wireless Sensor Networks

Abstract

Energy-harvesting wireless sensor network (EH-WSN) has the capability of capturing energy from environment and providing perpetual data services. In many applications of EH-WSN such as environmental protection, building monitoring, industrial internet of things, nodes are required to report sensed data to the sink with high common data rate to improve monitoring accuracy. In order to improve the common data rate of collection tree-based network, this paper studies collection tree construction for maximizing common data rate. We propose a collection tree construction scheme named hybridMCDRT which consists of a heuristic construction algorithm, an iterative optimization algorithm and “detour problem” elimination algorithm. The simulation results show that the proposed scheme can obtain higher common data rate than the existing methods.