Reliability analysis for wireless communication networks via dynamic Bayesian network

作     者：YANG Shunqi ZENG Ying LI Xiang LI Yanfeng HUANG Hongzhong YANG Shunqi;ZENG Ying;LI Xiang;LI Yanfeng;HUANG Hongzhong

作者机构：School of Naval Architecture and Ocean EngineeringHuazhong University of Science and TechnologyWuhan 430074China School of Mechanical and Electrical EngineeringUniversity of Electronic Science and Technology of ChinaChengdu 611731China China University of Petroleum at KaramayKaramay 834000China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2023年第34卷第5期

页      面：1368-1374页

核心收录：

学科分类：1201[管理学-管理科学与工程(可授管理学、工学学位)] 0808[工学-电气工程] 08[工学] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0811[工学-控制科学与工程] 

基　　金：supported by the Chinese Universities Scientific Fund(ZYGX2020ZB022) the National Natural Science Foundation of China(51775090). 

主　　题：dynamic Bayesian network(DBN) wireless commu-nication network continuous time Bayesian network(CTBN) network reliability 

摘      要：The dynamic wireless communication network is a complex network that needs to consider various influence factors including communication devices,radio propagation,network topology,and dynamic behaviors.Existing works focus on suggesting simplified reliability analysis methods for these dynamic networks.As one of the most popular modeling methodologies,the dynamic Bayesian network(DBN)is proposed.However,it is insufficient for the wireless communication network which contains temporal and non-temporal events.To this end,we present a modeling methodology for a generalized continuous time Bayesian network(CTBN)with a 2-state conditional probability table(CPT).Moreover,a comprehensive reliability analysis method for communication devices and radio propagation is suggested.The proposed methodology is verified by a reliability analysis of a real wireless communication network.