Research on link anomaly monitoring scheme of unmanned aerial vehicle based on “communication-calculation-caching” resource collaboration

WANG Qing; XIA Xiaodong; JING Zhen; DAI Yanjie; SUN Jiande; FENG Chuanfen

doi:10.11959/j.issn.1000-0801.2025010

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Research on link anomaly monitoring scheme of unmanned aerial vehicle based on “communication-calculation-caching” resource collaboration

Engineering and Application | 更新时间：2025-03-11

- Research on link anomaly monitoring scheme of unmanned aerial vehicle based on “communication-calculation-caching” resource collaboration
- Telecommunications Science Vol. 41, Issue 2, Pages: 168-181(2025)
- 作者机构：
  
  1.国网山东省电力公司营销服务中心（计量中心），山东济南 250013
  2.山东师范大学，山东济南 250014
- 作者简介：
- 基金信息：
  
  The Science and Technology Project of State Grid Shandong Electric Power Company(2023A-018)
- DOI：10.11959/j.issn.1000-0801.2025010
  CLC： TN929
- Received：06 July 2024，
  
  Revised：2024-12-19，
  
  Published：20 February 2025
- 稿件说明：
移动端阅览
王清,夏晓东,荆臻等.基于“通算存”资源协同的无人机链路异常监测方案研究[J].电信科学,2025,41(02):168-181.

WANG Qing,XIA Xiaodong,JING Zhen,et al.Research on link anomaly monitoring scheme of unmanned aerial vehicle based on “communication-calculation-caching” resource collaboration[J].Telecommunications Science,2025,41(02):168-181.
王清,夏晓东,荆臻等.基于“通算存”资源协同的无人机链路异常监测方案研究[J].电信科学,2025,41(02):168-181. DOI： 10.11959/j.issn.1000-0801.2025010.

WANG Qing,XIA Xiaodong,JING Zhen,et al.Research on link anomaly monitoring scheme of unmanned aerial vehicle based on “communication-calculation-caching” resource collaboration[J].Telecommunications Science,2025,41(02):168-181. DOI： 10.11959/j.issn.1000-0801.2025010.

摘要

近年来无人机（unmanned aerial vehicle，UAV）以其低成本、高灵活的特点在网络链路监测领域得到了广泛应用，但其高移动性、电量受限特性使监测任务实时、高效处理面临严峻的挑战。以智慧电力中通过无人机进行链路异常监测应用为例，针对不同监测场景需求，基于云、边、端节点的通信资源、计算资源、存储资源，综合考虑任务卸载与迁移联合优化，构建了基于“通算存”资源协同的任务处理模型，提出了基于“通算存”资源协同效益最优和时延最优两种链路异常监测方案。仿真实验揭示了基于“通算存”资源协同任务处理的内在机理。结果表明，与传统基于“通算”资源协同方案相比，所提链路异常监测方案具有更高的任务处理效益或更低的任务处理时延。

Abstract

In recent years

unmanned aerial vehicles (UAVs) have been widely used in the field of network link monitoring due to their low cost and high flexibility. However

the characteristics of high mobility and limited battery capacity of UAV impose serious challenges on real-time and high benefit processing of monitoring tasks. The scenario of link anomaly monitoring through drones in smart power was taken as an example. Considering the joint optimization of task offloading and migration

a task processing model based on “communication-calculation-caching” resource collaboration was constructed in order to meet the needs of different monitoring scenarios

which took into account the communication resources

computing resources

and storage resources of cloud

edge and end nodes. Two link anomaly monitoring schemes based on “communication-calculation-caching” resource collaboration with optimal benefit and optimal delay were proposed. The inherent mechanism of collaborative task processing based on “communication-calculation-caching” resources was revealed through simulation experiments. The results indicate that the proposed link anomaly monitoring scheme has higher task processing benefit or lower task processing delay compared to traditional link anomaly monitoring scheme based on “communication-calculation” resource collaboration.

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Keywords

references

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