TY - JOUR
T1 - Integrating Mobile Edge Computing into Unmanned Aerial Vehicle Networks
T2 - An Sdn-Enabled Architecture
AU - Lin, Chuan
AU - Han, Guangjie
AU - Shah, Syed Bilal Hussain
AU - Zou, Yan
AU - Gou, Linfeng
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Over the past few years, we have witnessed an exponential increase in demand for seamless and continuous Internet access to online services - multimedia services, online business, gaming, scientific analysis, and so on. With the significant advances in computing and communication techniques of edge devices, the mobile edge computing (MEC) paradigm has emerged and has been demonstrated to be more feasible and efficient in providing wireless Internet access or computing in some scenarios compared to the traditional cloud computing platform. Furthermore, the promotion and popularization of unmanned aerial vehicles (UAVs) in recent years provides the promis of ubiquitous data sensing, leading to an era of aerial MEC. In this article, we first present four representative architectures for the UAV-based MEC system. Then we survey some recent research products in this area. In particular, we argue that the UAV can be regarded as a MEC unit and propose the paradigm of a multi-UAV-based MEC network. Furthermore, we employ software-defined networking to improve the network's scalability and controllability and present the framework of the software-defined UAV network. Based on the proposed framework, we introduce the concept of a 'smart function table' that can be applied to execute the network operation in the proposed framework. After evaluating our proposed framework, especially concerning the cooperative flying ability and control delay, several challenging issues and future research suggestions are presented to guide this direction.
AB - Over the past few years, we have witnessed an exponential increase in demand for seamless and continuous Internet access to online services - multimedia services, online business, gaming, scientific analysis, and so on. With the significant advances in computing and communication techniques of edge devices, the mobile edge computing (MEC) paradigm has emerged and has been demonstrated to be more feasible and efficient in providing wireless Internet access or computing in some scenarios compared to the traditional cloud computing platform. Furthermore, the promotion and popularization of unmanned aerial vehicles (UAVs) in recent years provides the promis of ubiquitous data sensing, leading to an era of aerial MEC. In this article, we first present four representative architectures for the UAV-based MEC system. Then we survey some recent research products in this area. In particular, we argue that the UAV can be regarded as a MEC unit and propose the paradigm of a multi-UAV-based MEC network. Furthermore, we employ software-defined networking to improve the network's scalability and controllability and present the framework of the software-defined UAV network. Based on the proposed framework, we introduce the concept of a 'smart function table' that can be applied to execute the network operation in the proposed framework. After evaluating our proposed framework, especially concerning the cooperative flying ability and control delay, several challenging issues and future research suggestions are presented to guide this direction.
UR - http://www.scopus.com/inward/record.url?scp=85137266960&partnerID=8YFLogxK
U2 - 10.1109/IOTM.001.2100070
DO - 10.1109/IOTM.001.2100070
M3 - 文章
AN - SCOPUS:85137266960
SN - 2576-3180
VL - 4
SP - 18
EP - 23
JO - IEEE Internet of Things Magazine
JF - IEEE Internet of Things Magazine
IS - 4
ER -