High Efficient Routing Protocol for Wireless Sensor Networks Based on Machine Learning

The wireless sensor network has more and more influence on people's production and life, which corresponds to the higher demand for wireless sensor networks. In order to meet the growing needs of the people, a high efficient routing protocol for GBHHR networks was designed based on the machine learning. The workflow of the entire routing protocol included the start-up phase, the operation phase and the update phase.In order to verify the performance of the routing protocol, the NS2 software was used to compare it with the GPRS protocol and LEACH protocol. Through the results, it can be seen that in the analysis of fours indicators of the number of deaths on grid, number of dead sensor nodes, number of packets received by the Sink node and the delay, the GBHHR network routing protocol has better performance, which can meet the increasing needs of people's wireless sensor networks.