Research on Application of BP Neural Network Based on Genetic Algorithm in Heartbeat Mechanism

Abstract

In view of the current instant messaging applications developed based on the Android platform that all use the traditional heartbeat mechanism, which has the problem of greatly consuming client CPU and power, a method for dynamically adjusting the heartbeat interval is proposed. This method uses genetic algorithm to optimize the BP neural network model to predict the current network congestion, and then dynamically adjusts the heartbeat interval according to the prediction result combined with the dichotomy. Use the development tool Android Studio to develop an instant messaging application App based on the Android operating system, and test the fixed heartbeat and the above-mentioned adaptive scheme respectively. The experimental results show that the adaptive scheme can make the application find the optimal heartbeat interval for the current network faster. Which can reduce the consumption of client CPUand power.