Traffic Management for Cloud Based IoV Environment with MEC, Fog and Cloud Servers – A Survey
Keywords:
Internet of Vehicles (IoV), Mobile Edge Computing (MEC), Decentralized Environmental Notification Message (DENM), Collaborative Awareness Message (CAM), Edge Information System (EIS), Vehicular Ad-hoc Networks (VANET).Abstract
Mobile Edge Computing (MEC) technology plays a huge role in the Internet of Vehicles (IoV). However, sometimes it is not able to perform the required tasks with simultaneous active vehicle users, due to the limited resources of the MEC server. Fog and MEC can be an edge-computing model that scales the cloud and its services to the edge of the network. This led to the introduction of new methods and evolved concepts, which means that supported publication methods must be researched.IoV is used to perform compute-intensive and delay-sensitive tasks. In order to reduce latency and power consumption as much as possible, applications are turned off from a cellular device to a remote cloud or a nearby mobile edge cloud for processing. To solve the problems of storage and the large amount of data generated by the IoV environment, on-premises solutions and cloud computing will not be sufficient need, due to the disadvantages of resources and connection density. By distributing computing and storage media at the edge of a wireless point, for example, wireless nodes, edge information system (EIS), as well as modern computing and artificial intelligence, will be a key driver for the development of the actual IoV environment. The proposed model aims to acquire, collect and process local data as well as provide low latency information and algorithmic services. This paper presents the latest developments in EIS for the IoV environment. Strategies and platform issues for such systems are also covered. Notably, typical applications for smart vehicles are discussed. In addition, in this paper, we present a comprehensive survey of fog computing, and discuss how fog computing can meet the growing needs of applications with requirements for privacy, latency, and bandwidth. This study attempts to make a preliminary assessment of several variables of some proposed solutions and certain current guidelines for mobile edge computing and fog computing to choose the suitable adopted model for IoV networks.
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