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应急实时音视频混合智能路由优化方法

陈琨

（中国人民公安大学，北京 100038）

栏目：通信工程 · 第 2026 年第 4 期 · 页码：1-7,12 · 2096-4706（2026）04-0001-08 · 中图分类号：TN915；TP393 · 文献标识码：A · DOI：10.19850/j.cnki.2096-4706.2026.04.001

摘要

针对应急通信场景下实时音视频传输面临的网络动态性强、多目标冲突及服务质量保障困难等问题，提出了一种融合深度强化学习与多种群层次蚁群优化的混合智能路由机制。首先建立了应急网络的随机时变模型，采用马尔可夫链刻画链路可用性演化，通过一阶自回归过程描述性能参数波动特性。其次构建了深度双重优势Q网络与多种群蚁群算法的双层协同架构，通过Q值驱动的信息素调制机制实现价值评估与路径搜索的深度融合。进一步设计了双重门控稳定性控制机制，在保持快速响应的同时有效抑制路径频繁切换。实验结果表明，所提方法相比最短路径算法在平均端到端时延、丢包率、路径切换频率等指标上分别降低了43.2%、65.4%和67.5%，带宽利用率提升了 78.9%，在突发拥塞和链路失效场景下展现出优异的自适应能力与鲁棒性。

关键词

应急通信；深度强化学习；蚁群优化；路由算法

参考文献

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作者简介

陈琨（1981—），男，汉族，四川遂宁人，中级职称，本科，研究方向：应急通信。