A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City Transportation

Abstract

Connected vehicles are a vital part of smart cities, which connect over a wireless connection and bring mobile computation and communication abilities. As a mediator, fog computing resides between vehicles and the cloud and provides vehicles with processing, storage, and networking power through Vehicular Ad-hoc networks (VANET). VANET is a time-sensitive technology that requires less time to process a request received from a vehicle. Delay and latency are the notorious issues of VANET and fog computing. To deal with such problems, in this work, we developed a priority-based fog computing model for smart urban vehicle transportation that reduces the delay and latency of fog computing. To upgrade the fog computing infrastructure to meet the latency and Quality of Service (QoS) requirements, 5G localized Multi-Access Edge Computing (MEC) servers have also been used, which resulted tremendously in reducing the delay and the latency. We decreased the data latency by 20% compared to the experiment carried using only cloud computing architecture. We also reduced the processing delay by 35% compared with the utilization of cloud computing architecture.

Security & Driver Assistance In VANET Using Edge Computing

“…The goal of the developing field of research on edge computing-based security and driver assistance in vehicular ad hoc networks (VANETs) is to improve the effectiveness and safety of vehicular communication systems [1]. Many studies have been carried out recently to investigate how edge computing might be used to address the security and driver assistance issues in VANETs [2], demonstrating how AI can be used to compute, cache, and communicate resources close to smart cars [3].…”

AI-Based Efficient Wireless Technologies and Infrastructure-Based Networks With VANET For Smart Transportation High Performance

“…In [9], the authors proposed a V2V-based technique for detecting traffic jams that took into account vehicle speed, traffic density, and a rating system for traffic congestion. Shortest path (from scene of accident to hospital) algorithm for ambulance routing was proposed in work [10]. Dijkstra method was utilized to find shortest path through set of node locations.…”

A Fog Computing Framework in IoT Healthcare Environment: Towards A New Method Based on Tasks Significance

“…This system permits the placement of the API gateway within the micro-services to affect connectivity between the gateway distribution and aggregation function. A fog computing-based protocol of triparty" with one-round key authentication [28]. This protocol relies on bilinear pairing cryptography for the generation of the session that ensures secure communication between the communicating parties.…”