空海自组网随机接入仿真研究
作者:
作者单位:

1.中国石油大学(华东)海洋与空间信息学院 青岛 266580;2.北京遥测技术研究所 北京 100076

作者简介:

刘倬腾 1997年生,硕士。
闫朝星 1985年生,博士,研究员。
付林罡 1982年生,硕士,研究员。
李世宝 1978年生,硕士,教授。

通讯作者:

中图分类号:

TN924.2

基金项目:

装备预研项目(50911030301);航天科技集团应用创新计划(EF887457)


Research on Random Access of Air-sea Ad-hoc Network
Author:
Affiliation:

1.College of Oceanography and Space Informatics, China University of Petroleum, Qingdao 266580, China;2.Beijing Research Institute of Telemetry, Beijing 10076, China

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    摘要:

    针对无人机在远海远域协同任务过程中的空海信息协同共享需求,提出了一种基于优先级传输的动态随机接入协议。首先,通过设计高效集群组网信令保证集群测控通信自组网的遥测、遥控信息的稳定传输;然后,结合改进的TDMA(时分多址)组网时隙结构实现节点快速入网与动态时隙分配协议;最后,通过OPNET(网络仿真技术软件包)分析所设计的集群空海自组网系统的随机接入低时延、业务传输高吞吐量和端到端传输低时延性能。结果表明:该组网信令下建网时间只需要2~3个飞控周期,在32节点场景下节点完成随机Aloha入网时延平均不到0.6 s,改进的TDMA协议在端到端时延比传统TDMA协议降低1/3。

    Abstract:

    Addressing the air-sea information collaboration and sharing requirements for UAVs in distant maritime operations, a dynamic priority-based transmission protocol is proposed for random access. Firstly, this protocol is designed to ensure stable telemetry and remote control information transmission within the cluster measurement and control communication ad-hoc network through efficient cluster networking signaling. Secondly, combines an improved TDMA network time-slot structure for fast node enrollment and dynamic time slot allocation. Finally, an OPNET network simulation is used to analyze the random access, low latency, high throughput, and low end-to-end latency performance of the designed cluster air-sea self-organizing network system. The results indicate that the network establishment time under this signaling scheme requires only 2-3 flight control cycles. In a scenario with 32 nodes, the average delay for nodes to complete random Aloha network access is less than 0.6 seconds. Additionally, the improved TDMA protocol reduces end-to-end latency by 1/3 compared to traditional TDMA protocols.

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刘倬腾,闫朝星,付林罡,李世宝.空海自组网随机接入仿真研究[J].遥测遥控,2024,45(1):47-53.

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  • 收稿日期:2023-09-11
  • 最后修改日期:2023-12-13
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  • 在线发布日期: 2024-01-23
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  • 优先出版日期: 2024-01-23