Push strategy of node association degree based on end to end interactive information
Zhenjiang Sun, Sheng Zhang, Wentong Zhang · 2021
Aiming at the network congestion problem encountered by the Internet of Things devices in the message request, in order to reduce the network congestion, this article proposes a message prefetching and pushing algorithm based on node statistics. First, count the message push times table between network nodes, and find the values in the network node demand correlation list and service correlation list; finally, this article uses the message prefetch and push algorithm based on statistical information, and the demand correlation is used as the interactive method information push. Theoretical analysis and experimental results show that the algorithm can obtain a higher message prefetch push hit rate by setting a reasonable threshold based on the interaction of a certain number of devices, thereby alleviating network congestion caused by network computing and communication bandwidth.