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

Sensors (Basel). 2022 Oct 10;22(19):7691. doi: 10.3390/s22197691.

Abstract

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.

Keywords: evaluation; multi-path routing; semi-supervised learning; wireless sensor network.

Grants and funding

This research received no external funding.