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

Wuhui Chen; Baichuan Liu; Huawei Huang; Song Guo; Zibin Zheng

doi:10.1109/MNET.2019.1800222

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

Wuhui Chen, Baichuan Liu, Huawei Huang, Song Guo, Zibin Zheng

Research output: Journal article publication › Journal article › Academic research › peer-review

158 Citations (Scopus)

Abstract

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.

Original language	English
Article number	8675170
Pages (from-to)	36-43
Number of pages	8
Journal	IEEE Network
Volume	33
Issue number	2
DOIs	https://doi.org/10.1109/MNET.2019.1800222
Publication status	Published - 1 Mar 2019

ASJC Scopus subject areas

Software
Information Systems
Hardware and Architecture
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/MNET.2019.1800222

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abstract = "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.",

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

Abstract

ASJC Scopus subject areas

UN SDGs

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