一种基于BP神经网络的MQTT自适应心跳机制分析  

Design of an Adaptive Heartbeat Mechanism for MQTT Based on BP Neural Network

作　　者：刘军 柳雷 LIU Jun;LIU Lei(Zenosic Semiconductor Co.,Ltd.,Jiangsu 211899,China)

机构地区：[1]篆芯半导体(南京)有限公司,江苏211899

出　　处：《电子技术（上海）》2024年第6期1-4,共4页Electronic Technology

摘　　要：阐述通过改进霍尔特平滑网络状态检测算法,对网络时延的历史数据进行采样。使用改进BP神经网络算法对历史数据进行训练,对未来网络时延的时间点进行预测。在预测时延时间点上,使用改进MQTT心跳算法,避免连接失效,有效减少了因使用二分查找法而对MQTT协议增加额外开销。This paper describes that the historical data of network latency is sampled by improving the Holt smoothing network state detection algorithm,the historical data is trained using the improved BP neural network algorithm to predict the future network latency time points;and at the predicted latency time points,the improved MQTT heartbeat algorithm is used to avoid connection failures.It effectively reduces the additional overhead on the MQTT protocol caused by the use of binary search method.

关 键 词：MQTT 心跳机制 二分法 霍尔特平滑 BP神经网络 

分 类 号：TN92[电子电信—通信与信息系统] TP393[电子电信—信息与通信工程] TP391.44[自动化与计算机技术—计算机应用技术] TP18[自动化与计算机技术—计算机科学与技术]