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

Ruoyu Liu, Ming Li, Chunlan Jiang, Luwei Liu

2019

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.

Paper Citation

in Harvard Style

Liu R., Li M., Jiang C. and Liu L. (2019). Design and Research of Bayesian Reasoning Method based on Wireless Intelligent Nodes.In Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE, ISBN 978-989-758-412-1, pages 467-473. DOI: 10.5220/0008874404670473

in Bibtex Style

@conference{icvmee19,
author={Ruoyu Liu and Ming Li and Chunlan Jiang and Luwei Liu},
title={Design and Research of Bayesian Reasoning Method based on Wireless Intelligent Nodes},
booktitle={Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,},
year={2019},
pages={467-473},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008874404670473},
isbn={978-989-758-412-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering - Volume 1: ICVMEE,
TI - Design and Research of Bayesian Reasoning Method based on Wireless Intelligent Nodes
SN - 978-989-758-412-1
AU - Liu R.
AU - Li M.
AU - Jiang C.
AU - Liu L.
PY - 2019
SP - 467
EP - 473
DO - 10.5220/0008874404670473