A Comprehensive Survey: Benefits, Services, Recent Works, Challenges, Security, and Use Cases for SDN-VANET

Abstract

Vehicular communication networks is a powerful tool that enables numerous vehicular data services and applications. The rapid growth in vehicles has also resulted in the vehicular network becoming heterogeneous, dynamic, and large-scale, making it hard to meet the strict requirements, such as extremely latency, high mobility, top security, and enormous connections of the fifth-generation network. Previous studies have shown that with the increase in the application of Software-Defined Networking (SDN) on Vehicular Ad-hoc Network (VANET) in industries, researchers have exerted considerable efforts to improve vehicular communications. This study presents an exhaustive review of previous works by classifying them based on based on wireless communication, particularly VANET. First, a concise summary of the VANET structure and SDN controller with layers and details of their infrastructure is provided. Second, a description of SDN-VANET applications in different wireless communications, such as the Internet of Things (IoT) and VANET is provided with concentration on the examination and comparison of SDN-VANET works on several parameters. This paper also provides a detailed analysis of the open issues and research directions accomplished while integrating the VANET with SDN. It also highlights the current and emerging technologies with use cases in vehicular networks to address the several challenges in the VANET infrastructure. This survey acts as a catalyst in raising the emergent robustness routing protocol, latency, connectivity and security issues of future SDN-VANET architectures. INDEX TERMS Vehicular ad hoc network (VANET), SDN, 5G, Internet of Vehicles (IoV), routing protocol, connectivity, mobility management, security.

Machine Learning Technologies for Secure Vehicular Communication in Internet of Vehicles: Recent Advances and Applications

“…As one of these applications, IoV networks require the development of smart algorithms to manage intelligent technology, such as self-driving cars. Selfdriving cars are a high-risk test for machine learning authorities, as well as a test case for social learning in technology management [92][93][94][95][96]. In IoV applications, the convergence between machine learning and the Internet of ings promises future progress in efficiency, accuracy, and improved resource management.…”

Secured node detection technique based on artificial neural network for wireless sensor network

“…Nodes are supplied with batteries that cannot be recharged or replaced in the field of operation [10][11][12] lifetime. Nowadays, WSN has numerous applications in military, health and environmental areas due to ease of use and having the ability to withstand harsh environmental conditions [13][14][15]. These networks are self-administered networks in which nodes are self-organized to have reliable communication between them.To have secure communication among various self-organized nodes, security issues are of main concern.…”

Novel Hybrid Architecture of Infotainment for Streaming Signals in Vehicular Network

“…The idea is basically to control the accidents while driving or supporting the upcoming application to be required by the drivers for betterment in their driving experience [2]. In this regard, the Vehicular Adhoc Network (VANET) is the prime topic under attention, which lets communication among different vehicles [3]. The complete mechanism of communication in VANET is carried out by complying with three different architectures, i.e., i) xed access point-based architecture, ii) Adhoc-based architecture, and iii) hybridbased architecture [4].…”