Edge-Cloud Resource Scheduling in Space-Air-Ground-Integrated Networks for Internet of Vehicles

被引：134

作者：

Cao, Bin ^{[1
,2
]}

Zhang, Jintong ^{[1
,2
]}

Liu, Xin ^{[3
]}

Sun, Zhiheng ^{[1
,2
]}

Cao, Wenxi ^{[4
]}

Nowak, Robert M. ^{[5
]}

Lv, Zhihan ^{[6
]}

机构：

[1] Hebei Univ Technol, State Key Lab Reliabil & Intelligence Elect Equip, Tianjin 300130, Peoples R China

[2] Hebei Univ Technol, Sch Artificial Intelligence, Tianjin 300401, Peoples R China

[3] Hebei Univ Technol, Sch Econ & Management, Tianjin 300401, Peoples R China

[4] Chinese Acad Sci, South China Sea Inst Oceanol, Guangdong Key Lab Ocean Remote Sensing, Guangzhou 510301, Peoples R China

[5] Warsaw Univ Technol, Inst Comp Sci, PL-00665 Warsaw, Poland

[6] Qingdao Univ, Sch Data Sci & Software Engn, Qingdao 266071, Peoples R China

来源：

IEEE INTERNET OF THINGS JOURNAL | 2022年 / 9卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Task analysis; Software; Computer architecture; Cloud computing; Satellites; Security; Edge computing; edge computing (EC); Internet of Vehicles (IoV); resource scheduling; space-air-ground-integrated networks (SAGIN); NONDOMINATED SORTING APPROACH; ENERGY-EFFICIENT; ALGORITHM; OPTIMIZATION; 5G; ALLOCATION;

D O I：

10.1109/JIOT.2021.3065583

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The space-air-ground-integrated network (SAGIN) can enhance the performance of the Internet of Vehicles (IoV). However, the basic hardware differences among communication systems are large, which leads to communication difficulties between different communication systems. To effectively manage multiple communication networks (satellite networks, air networks, and terrestrial networks) and computing resources in IoV, this article proposes a SAGIN-IoV edge-cloud architecture based on software-defined networking (SDN) and network function virtualization (NFV). In addition, we construct an optimization model based on SAGIN-IoV's service requirements, and propose an improved algorithm. Experimental results show that the improved algorithm can effectively optimize the resource scheduling problem of SAGIN-IoV.

引用

页码：5765 / 5772

页数：8

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