系统仿真学报 ›› 2021, Vol. 33 ›› Issue (7): 1514-1525.doi: 10.16182/j.issn1004731x.joss.21-0434

• 专栏:过程控制仿真 • 上一篇    下一篇

一种动态感知的连通恢复方法研究

华翔1,2, 李宝华1,*, 姚红娟1, 王昭2, 左嘉娴2   

  1. 1.西安工业大学 电子信息工程学院,陕西 西安 710021;
    2.西安工业大学 西北兵器工业研究院,陕西 西安 710021
  • 收稿日期:2021-05-15 修回日期:2021-05-25 出版日期:2021-07-18 发布日期:2021-07-20
  • 通讯作者: 李宝华(1997-),男,硕士生,研究方向为网络拓扑优化。E-mail:libaohua@st.xatu.edu.cn
  • 作者简介:华翔(1979-),女,博士,教授,研究方向为短距离数据通信和无线网络动态拓扑。E-mail:huaxiang@xatu.edu.cn
  • 基金资助:
    陕西省2020年重点研发计划(2020GY-073)

Research on a Dynamically Perceptive Connectivity Restoration Method

Hua Xiang1,2, Li Baohua1,*, Yao Hongjuan1, Wang Zhao2, Zuo Jiaxian2   

  1. 1. College of Electronic Information Engineering, Xi'an Technological University, Xi'an 710021, China;
    2. Northwest Institutes of Advanced Technology, Xi'an Technological University, Xi'an 710021, China
  • Received:2021-05-15 Revised:2021-05-25 Online:2021-07-18 Published:2021-07-20

摘要: 集群通信网络具有拓扑时变,节点移动性强,链路状态不稳定等特点,难以维持稳定的拓扑结构。网络被分割为互不连通的子群体,为了解决不同群体间的通信问题,将协同中继节点引入,提出一种动态感知的连通恢复方法搭建协同通信模型,推导出链路质量指标的数学表达;设计多目标链路评价函数,通过多目标连通恢复算法实现最优的中继位置规划。仿真结果表明:在不同信道环境下,该算法能够在2个非连通群体间获得最优中继位置,恢复网络连通。

关键词: 拓扑时变, 集群通信网络, 协同中继, 连通恢复

Abstract: The cluster communication network has the characteristics of time-varying topology, strong node mobility, and unstable link status, etc. It is difficult to maintain a stable topology. The network is divided into disconnected subgroups. In order to solve the communication problem between different groups, the cooperative relay node is introduced and a dynamic-sensing connection recovery method is proposed. A cooperative communication model is built and the mathematical expression of link quality indicators is deduced, which designs a multi-objective link evaluation function and achieves the optimal relay location planning through a multi-objective connectivity recovery algorithm. Simulation results show that the proposed algorithm can obtain optimal relay position between two disconnected groups and restore the network connectivity under different channel environments.

Key words: topological time-varying, cluster communication network, cooperative relay, connectivity restoration

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