Abstract: Aiming at the shortcomings of the current wireless sensor network routing algorithm, such as low data transmission success rate, long network time, high packet loss rate, and in order to obtain better data transmission results, we proposed wireless sensor networks routing algorithm based on weighted fusion of evidence theory. Firstly, the clustering analysis algorithm was introduced to cluster the wireless sensor network, which made the distribution of cluster heads more uniform, and solved the problem that the cluster heads were too centralized and the distribution of cluster member nodes was unreasonable. Secondly, the weight of the remaining energy, communication distance between nodes, communication energy consumption were calculated by using evidence theory, the performance of each node was comprehensively evaluated according to the weight, and the most reasonable cluster head was selected according to the comprehensive evaluation results. Finally, the comparison test was carried out with other wireless sensor network routing algorithms. The test results show that, compared with the comparison algorithm, the data delay average and packet loss rate of the wireless sensor network algorithm are greatly reduced,  the data transmission success rate is improved, the energy consumption between nodes is more balanced, the lifetime of wireless sensor network is extended, and the routing reliability of the established wireless sensor network is higher.

Key words:  , wireless network, sensor node, routing reliability, evidence theory, residual energy, communication energy consumption