Design and Research of Bayesian Reasoning Method based on Wireless Intelligent Nodes

Abstract

Aiming at the multi-attribute decision problem of networked ammunition, the research of intelligent decision method is carried out. Based on the tasks of blocking the key areas in wild, the main factors affecting the decision are analysed. According to the inherent logical relationship of each factor, a decision model based on Dynamic Bayesian Network (DBN) is proposed. In addition, in order to better verify the practical performance of the reasoning method, a simulation system including software and hardware is designed. The wireless intelligent node includes self-positioning module, communication module, detection module, signal processing module, feedback module, core processing module and power module. Software, used Visual Studio 2015 as the development platform, it is based on C# language and includes modules such as interactive display, communication and algorithm. Through the system test and semi-physical simulation experiments, the practicability and effectiveness of the reasoning method are verified, which proves that it can provide support for research and practical use.