Cooperative Mobile Edge Computing Architecture in IoV and Its Workload Balance Policy

Abstract

As vehicle applications, mobile devices and the Internet of Things are growing fast, and developing an efficient architecture to deal with the big data in the Internet of Vehicles (IoV) has been an important concern for the future smart city. To overcome the inherent defect of centralized data processing in cloud computing, mobile edge computing (MEC) has been proposed by offloading computation tasks to edge computing servers. This paper proposes an improved software defined network (SDN)-based cooperative mobile edge computing architecture in IoV (CMEC-IoV), considering factors like latency, mobility and scalability. In addition, its components are described as well as various services. Based on the proposed architecture, a new workload balance policy is proposed to mitigate partial data flow to neighboring MEC servers for resource sharing. Experimental results demonstrate that the proposed policy can effectively avoid network congestion and improve IoV network stability, as it effectively reduces packet loss rate.