Abstract
Vehicular ad hoc networks (VANETs) are a recent class of peer-to-peer wireless networks that are used to organize the communication and interaction between cars (V2V), between cars and infrastructure (V2I), and between cars and other types of nodes (V2X). These networks are based on the dedicated short-range communication (DSRC) IEEE 802.11 standards and are mainly intended to organize the exchange of various types of messages, mainly emergency ones, to prevent road accidents, alert when a road accident occurs, or control the priority of the roadway. Initially, it was assumed that cars would only interact with each other, but later, with the advent of the concept of the Internet of things (IoT), interactions with surrounding devices became a demand. However, there are many challenges associated with the interaction of vehicles and the interaction with the road infrastructure. Among the main challenge is the high density and the dramatic increase of the vehicles’ traffic. To this end, this work provides a novel system based on mobile edge computing (MEC) to solve the problem of high traffic density and provides and offloading path to vehicle’s traffic. The proposed system also reduces the total latency of data communicated between vehicles and stationary roadside units (RSUs). Moreover, a latency-aware offloading algorithm is developed for managing and controlling data offloading from vehicles to edge servers. The system was simulated over a reliable environment for performance evaluation, and a real experiment was conducted to validate the proposed system and the developed offloading method.
Highlights
Based on the preplanned road map announced by the International Telecommunication Union (ITU) and the Third Generation Partnership Project (3GPP), by 2020 it is expected that we will begin a new era of mobile communication systems with great and efficient capabilities with the announcement of the fifth generation of mobile communication systems (5G) [1]
The system was simulated for high density vehicle ad hoc networks (VANETs) network to evaluate the performance of the offloading scheme
We have developed an intelligent transport system based on mobile edge computing (MEC) and software defined networking (SDN) technologies to automate traffic, increase driver and pedestrian safety, and monitor traffic violations
Summary
Based on the preplanned road map announced by the International Telecommunication Union (ITU) and the Third Generation Partnership Project (3GPP), by 2020 it is expected that we will begin a new era of mobile communication systems with great and efficient capabilities with the announcement of the fifth generation of mobile communication systems (5G) [1]. To the forefront come such aspects of ITSs function as the security of transmitted information, the current growth rate of the number of network users, the continuous growth of network traffic, and many other factors [12] To localize these tasks and a number of other well-known bottlenecks of ITSs, it is necessary to develop an efficient architecture that will cope with the load generated by network elements, manage traffic flows correctly and in a timely manner, conduct uninterrupted statistical analysis, and meet the standards and requirements of modern communication networks [13]. The obvious solution is to deploy new technologies to overcome these challenges and achieves the requirements of the VANETs. Mobile edge computing (MEC) and software defined networking (SDN) are recent technologies that can provide a novel solution to build a reliable VANET systems with ultra-low latency [22,23].
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