返回
Task-Oriented Multimodal Communication Based on Cloud-Edge-UAV Collaboration
DOI:10.1109/JIOT.2023.3295650.png)
摘要
En 中文
Cloud-edge-unmanned aerial vehicle (UAV) computing collaboration is crucial for smart and real-time applications. It highlights the challenges faced by UAVs in task execution, including limited endurance, computing, and communication capabilities, as well as complex external interference. This article proposes a task-driven multimodal communication technology that utilizes a multimodal confusion information reception model to improve the UAV's ability to demodulate multimodal information. A cloud-edge-UAV collaborative computing model is then proposed to integrate cloud and edge computing capabilities into the UAV task execution system. As a result, the success probability and multimodal diversity of UAV task execution can be improved in complex environments based on both multimodal communication and cloud-edge-UAV collaboration concepts. Numerical results show that: 1) for each single-modal reception, the success probability increases by 15%, and the task execution is robust in severe environmental conditions since the success probability of eavesdropping by malicious users is reduced by 88%; 2) after multimodal combination, additional multimodal receptions results in an increase of the success probability; and 3) the reliability is highly related with the number of independent modals, which equals the multimodal diversity.
Keyword:
Cloud computing
edge computing
multimodal communication
wireless unmanned aerial vehicle (UAV) communication
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
暂无机构信息
引用论文
Management and Control of Load Clusters for Ancillary Services Using Internet of Electric Loads Based on Cloud-Edge-End Distributed Computing基于云边端分布式计算的电力负荷联网辅助服务负荷集群管控

