北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2020, Vol. 43 ›› Issue (5): 57-63.doi: 10.13190/j.jbupt.2020-029

• 论文 • 上一篇    下一篇

基于博弈的机坪感知网络机会传输控制方法

陈维兴1, 苏景芳1, 赵卉2   

  1. 1. 中国民航大学 电子信息与自动化学院, 天津 300300;
    2. 中国人民解放军 31439部队, 沈阳 110015
  • 收稿日期:2020-03-24 发布日期:2021-03-11
  • 作者简介:陈维兴(1981-),男,副教授,硕士生导师,E-mail:cw007x130@163.com.
  • 基金资助:
    天津市教委科研计划项目(2018KJ237)

Opportunistic Transmission Control Method for Apron Sensing Network Based on Game Theory

CHEN Wei-xing1, SU Jing-fang1, ZHAO Hui2   

  1. 1. College of Electronic Information and Automation, Civil Aviation University of China, Tianjin 300300, China;
    2. People's Liberation Army of China 31439, Shenyang 110015, China
  • Received:2020-03-24 Published:2021-03-11

摘要: 在机坪感知网络场景下,针对不连通网络消息机会传输过程中投递率低和网络开销大的问题,提出一种基于博弈的机坪感知机会传输控制方法(OTCM).首先结合场景特性建立首传节点博弈模型,实现消息传输排序,解决传输优先级的问题;而后提出了一种融合多维拓扑节点属性的博弈规则体系和函数,实现消息传输环境的优化及传输过程的可靠性;同时根据博弈体系中的效用函数保证拓扑在新机会节点融入后的自适应更新,维持其传输性能的最优状态.利用机会网络仿真器建立国内某机坪场景,仿真结果表明,OTCM算法相较于其他机会路由策略,平均投递率可达52.50%,平均传输时延降低至1 773 s,基本达到了研究目标的要求.

关键词: 博弈论, 机坪网络, 机会网络, 拓扑控制, 路由策略

Abstract: The low delivery rate and large network overhead is of great challenge in the apron-aware network scenario. To solve the problem, an opportunistic transmission control method (OTCM) based on game theory is proposed. First, combining the characteristics of the scene to establish the initial-pass node game model to achieve message transmission sequencing and the problem of transmission priority is solved. Then a game rule system and function is planned that integrates multi-dimensional topology node attributes to achieve the optimization of the message transmission environment and the reliability of the transmission process. At the same time, according to the utility function in the game system, the topology can be adaptively updated after adding the new opportunity node. Hence the topology maintains its optimal state. Using opportunistic network environment to establish a domestic apron scene simulation. Verification shows that the OTCM algorithm has an average delivery rate of 52.50% and an average transmission delay reduced to 1 773 s compared with other opportunistic routing strategies, which basically meets the research goals.

Key words: game theory, apron network, opportunity network, topology control, routing strategy

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