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首页> 外文期刊>Journal of Residuals Science & Technology >High Efficient Routing Protocol for Wireless Sensor Networks Based on Machine Learning
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High Efficient Routing Protocol for Wireless Sensor Networks Based on Machine Learning

机译：基于机器学习的无线传感器网络高效路由协议

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摘要

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.
机译：无线传感器网络对人们的生产和生活的影响越来越大，这与对无线传感器网络的更高需求相对应。为了满足人们不断增长的需求，基于机器学习为GBHHR网络设计了一种高效的路由协议。整个路由协议的工作流程包括启动阶段，操作阶段和更新阶段。为了验证路由协议的性能，使用NS2软件将其与GPRS协议和LEACH协议进行了比较。从结果可以看出，在分析网格上的死亡人数，传感器失效节点的数量，接收器节点接收的数据包的数量和延迟的四个指标时，GBHHR网络路由协议具有更好的性能，可以满足人们无线传感器网络日益增长的需求。

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