系统仿真学报 ›› 2026, Vol. 38 ›› Issue (7): 1887-1900.doi: 10.16182/j.issn1004731x.joss.25-0773

• 论文 • 上一篇    下一篇

无线自组织网络状态信息高效扩散建模仿真

贾梦瑶1, 顾韶竹2, 王俊涵1, 王登昊1, 许都1, 章小宁1   

  1. 1.电子科技大学 信息与通信工程学院,四川 成都 611731
    2.北京电子工程总体研究所,北京 100854
  • 收稿日期:2025-08-14 修回日期:2025-10-14 出版日期:2026-07-28 发布日期:2026-07-31
  • 通讯作者: 章小宁
  • 第一作者简介:贾梦瑶(2001-),女,硕士生,研究方向为网络感知与路由。
  • 基金资助:
    国家自然科学基金(62171085);国家自然科学基金(U20A20156);国家自然科学基金(62001087)

Modeling and Simulation of Efficient State Information Diffusion in Wireless Ad Hoc Networks

Jia Mengyao1, Gu Shaozhu2, Wang Junhan1, Wang Denghao1, Xu Du1, Zhang Xiaoning1   

  1. 1.School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
    2.Beijing Institute of Electronic System Engineering, Beijing 100854, China
  • Received:2025-08-14 Revised:2025-10-14 Online:2026-07-28 Published:2026-07-31
  • Contact: Zhang Xiaoning

摘要:

为解决传统基于洪泛的状态扩散机制存在通信开销显著、实时响应能力受限等问题,提出了基于区域划分与信息压缩的高效扩散算法。融合地理距离与链路质量的多维特征聚类方法,通过加权欧氏距离与K-means算法实现高内聚性网络分区;设计代表节点动态选择机制,结合节点链路质量及地理中心性进行综合评分,实现区域信息的高效压缩与聚合传输。仿真结果表明:该算法明显降低了状态信息在无线自组织网络中传输的冗余通信开销,提升了扩散效率,为动态无线自组织网络的仿真建模与态势生成提供了可复用的算法模型与性能评估框架。

关键词: 无线自组织网络, 网络状态感知, 信息扩散, 聚类算法

Abstract:

To solve the problems of significant communication overhead and limited real-time response capability in the traditional flooding-based state diffusion mechanism, an efficient diffusion algorithm based on regional partitioning and information compression was proposed. A multi-dimensional feature clustering method integrating geographic distance and link quality was used to achieve high-cohesion network partitioning through weighted Euclidean distance and the K-means algorithm; a dynamic selection mechanism for representative nodes was designed to conduct comprehensive scoring bycombining the link quality and geographic centrality of nodes, realizing the efficient compression and aggregated transmission of regional information. Simulation results indicate that the algorithm significantly reduces the redundant communication overhead of state information transmission in wireless ad hoc networks and improves diffusion efficiency, providing a reusable algorithm model and performance evaluation framework for the simulation modeling and situation generation of dynamic wireless ad hoc networks.

Key words: wireless ad hoc network, network state awareness, information diffusion, clustering algorithm

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