Open AccessMaximizing Common Data Rate of collection Tree in Energy-Harvesting Wireless Sensor Networks
Author(s) -
Liyong Yuan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1930/1/012003
Subject(s) - wireless sensor network , computer science , data collection , tree (set theory) , heuristic , real time computing , computer network , data mining , distributed computing , artificial intelligence , mathematics , mathematical analysis , statistics
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.