TY - JOUR
T1 - When UAV Swarm Meets Edge-Cloud Computing
T2 - The QoS Perspective
AU - Chen, Wuhui
AU - Liu, Baichuan
AU - Huang, Huawei
AU - Guo, Song
AU - Zheng, Zibin
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/3/1
Y1 - 2019/3/1
N2 - 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.
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.
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000463036200007
UR - https://openalex.org/W2931293404
UR - https://www.scopus.com/pages/publications/85063769103
U2 - 10.1109/MNET.2019.1800222
DO - 10.1109/MNET.2019.1800222
M3 - Journal Article
SN - 0890-8044
VL - 33
SP - 36
EP - 43
JO - IEEE Network
JF - IEEE Network
IS - 2
M1 - 8675170
ER -
