面向有限缓冲区的多信道路由抗干扰决策研究

许江; 任国春; 徐逸凡; 徐煜华; 龚玉萍; 郑学强; 崔丽; 韩昊

doi:10.12382/bgxb.2025.0409

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面向有限缓冲区的多信道路由抗干扰决策研究

更新时间：2026-04-24

- 面向有限缓冲区的多信道路由抗干扰决策研究
- Study of Anti-jamming Decision for Multi-channel Routing in Finite Buffer
- 兵工学报 2026年47卷第3期页码：250409
- 作者机构：
  
  陆军工程大学通信工程学院，江苏南京 210000
- 作者简介：
  
  通信作者邮箱：guochunren@yeah.net
- 基金信息：
  
  国家自然科学基金联合基金项目(U22B2002);江苏省自然科学基金青年基金项目(BK20231027)
- DOI：10.12382/bgxb.2025.0409
  中图分类号： TN918.91
- 收稿：2025-05-27，
  
  网络首发：2025-12-25，
  
  纸质出版：2026-03
- 稿件说明：
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许江, 任国春, 徐逸凡, 等. 面向有限缓冲区的多信道路由抗干扰决策研究[J]. 兵工学报, 2026,47(3):250409.

XU Jiang, REN Guochun, XU Yifan, et al. Study of Anti-jamming Decision for Multi-channel Routing in Finite Buffer[J]. Acta Armamentarii, 2026, 47(3): 250409.
许江, 任国春, 徐逸凡, 等. 面向有限缓冲区的多信道路由抗干扰决策研究[J]. 兵工学报, 2026,47(3):250409. DOI： 10.12382/bgxb.2025.0409.

XU Jiang, REN Guochun, XU Yifan, et al. Study of Anti-jamming Decision for Multi-channel Routing in Finite Buffer[J]. Acta Armamentarii, 2026, 47(3): 250409. DOI： 10.12382/bgxb.2025.0409.

摘要

由于节点缓冲区有限且无线信道开放易受干扰，关键节点在承担多路数据转发任务时易发生缓冲区溢出和链路中断，加剧网络拥堵。以多源并发下无线自组织网络的多信道路由抗干扰问题为研究对象，提出一种面向有限缓冲区的多信道路由抗干扰决策方法，旨在解决动态干扰和高负载环境下的路由规划、信道选择以及拥塞控制的协同优化问题。将路由规划与信道决策问题建模为部分可观测随机博弈模型，提出基于分层深度Q学习的多信道路由抗干扰决策算法：上层网络基于邻居缓冲区状态与目的地址优化路由路径以避免拥塞，下层网络结合路由决策与频谱感知结果动态规避干扰信道，通过融合跳数代价、拥塞惩罚与干扰规避的奖励函数设计，实现路由与抗干扰信道接入的协同优化。仿真结果表明，相较于对比算法，新算法在数据包传输成功率方面提升15%，有效增强了无线自组织网络在干扰环境下的可靠性和抗干扰能力。

Abstract

This paper investigates the anti-jamming problem of multi-channel routing in wireless ad hoc networks . Due to finite node buffers and open wireless channels that are susceptible to jamming

the critical nodes are prone to buffer overflow and link interruption when undertaking the multi-path data forwarding tasks

thereby exacerbating network congestion. To this end

a finite buffer-oriented multi-channel routing anti-jamming decision-making method is proposed to achieve the co-optimization of route planning

channel selection and congestion control in dynamic jamming and high load environments. The route planning and channel decision-making problems are modeled as a partially observable stochastic game model. A multi-channel routing anti-jamming decision-making algorithm based on hierarchical deep Q-learning is proposed:the upper layer network optimizes the routing paths based on the neighbor buffer states and destination addresses to avoid congestion

the lower layer network combines the routing decision-making with the spectrum sensing results to dynamically avoid jamming channels. The cooperative optimization of routing and anti-jamming channel access is realized by designing a reward function that combines hop cost

congestion penalty and jamming avoidance. Simulated results show that the proposed algorithm improves the success rate of packet transmission by 15%

which effectively enhances the reliability and anti-jamming capability of wireless ad hoc network in the jamming environment

compared with other related algorithms.

关键词

Keywords

references

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