Multi-Path Routing Algorithm for Wireless Sensor Network Based on Semi-Supervised Learning

作者：Yiping Guo, Guyu Hu, Dongsheng Shao · 发表于：Sensors · 年份：2022 · DOI：10.3390/s22197691 · 被引用次数：3 · 研究领域：Energy Efficient Wireless Sensor Networks、Advanced Computing and Algorithms、Software-Defined Networks and 5G

Multi-path transmission can well solve the data transmission reliability problems and life cycle problems caused by single-path transmission. However, the accuracy of the routing scheme generated by the existing multi-path routing algorithms is difficult to guarantee. In order to improve the accuracy of the multi-path routing scheme, this paper innovatively proposes a multi-path routing algorithm for a wireless sensor network (WSN) based on the evaluation. First, we design and implement the real-time evaluation algorithm based on semi-supervised learning (RESL). We prove that RESL is better in evaluation time and evaluation accuracy through comparative experiments. Then, we combine RESL to design and implement the multi-path routing algorithm for wireless sensor networks based on semi-supervised learning (MRSSL). Then, we prove that MRSSL has advantages in improving the accuracy of the multi-path routing scheme through comparative experiments.