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

170 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

UN SDGs

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

SDG 11 Sustainable Cities and Communities

ASJC Scopus subject areas

Software
Information Systems
Hardware and Architecture
Computer Networks and Communications

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10.1109/MNET.2019.1800222

Cite this

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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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AU - Guo, Song

AU - Zheng, Zibin

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AB - 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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ER -

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

Abstract

UN SDGs

ASJC Scopus subject areas

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