When UAV Swarm Meets Edge-Cloud Computing: The QoS Perspective

被引：166

作者：

Chen, Wuhui ^{[1
]}

Liu, Baichuan ^{[2
]}

Huang, Huawei ^{[1
]}

Guo, Song ^{[3
]}

Meng, Zibin ^{[2
]}

机构：

[1] Sun Yat Sen Univ, Guangzhou, Guangdong, Peoples R China

[2] Sun Yat Sen Univ, Sch Data & Comp Sci, Guangzhou, Guangdong, Peoples R China

[3] Hong Kong Polytech Univ, Hong Kong, Peoples R China

来源：

IEEE NETWORK | 2019年 / 33卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Quality of service;

D O I：

10.1109/MNET.2019.1800222

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

080201 [机械制造及其自动化];

摘要：

In this article, we propose a hybrid computing model, UAV-Edge-Cloud, bringing edge/cloud computing and UAV swarm together to achieve high quality of service (QoS) guarantees. First, we design this novel hybrid computing framework to provide powerful resources to support resource-intensive applications and real-time tasks at edge networks. Next, we discuss some potential applications for smart cities and raise open research issues of the proposed hybrid framework. We then study a joint task placement and routing problem for latency-critical applications as a case study. Finally, the simulation results show that our approach can improve the QoS of UAV swarms effectively.

引用

页码：36 / 43

页数：8

共 15 条

[1]

Coordinated Robot Navigation via Hierarchical Clustering [J].