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

TLDR

The space–air–ground‑integrated network (SAGIN) can enhance Internet of Vehicles performance, yet large hardware differences among satellite, air, and terrestrial systems create communication difficulties. This work proposes a SAGIN‑IoV edge‑cloud architecture built on software‑defined networking and network function virtualization to manage multiple communication networks and computing resources. An optimization model tailored to SAGIN‑IoV service requirements is constructed, and an improved algorithm is introduced to solve the resource scheduling problem. Experimental results demonstrate that the improved algorithm effectively optimizes resource scheduling in SAGIN‑IoV.

Abstract

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.