Data dissemination for Internet of vehicle based on 5G communications: A survey

Abstract

With the increase of the number of connected vehicles on roads, the data dissemination within traditional network suffers from many limitations like high latency, a significant amount of dropped packets and network congestion. Therefore, the Internet of vehicles (IoV) has been designed as an emerging paradigm that combines the intelligent transportation system (ITS) with Internet of Things (IoT) technology. IoV allows vehicles to exchange data with its surroundings in order to enhance the traffic safety and to provide digital services to road users. In this paper, a taxonomy of data dissemination protocols proposed for IoV is surveyed according to three main categories namely, the smart control‐based category, social networks‐based category, and traditional approaches. We also review the data dissemination in IoV based on the fifth generation (5G) communications with emphasis on enabling technologies, architectures, services, and challenges. Moreover, we suggest in this study a new generic 5G‐based IoV architecture named IoVs based on fifth generation communications to enhance data dissemination by the promising and efficient transmission technologies such as fifth‐generation network properties, software‐defined network functionalities (SDN), and cloud‐fog computing services. The proposed scheme helps to meet challenges in the low latency, high reliability and security, high performance, mobility contrary to conventional architectures.

5G Campus Networks: A First Measurement Study

“…Numerous emerging technological paradigms, such as Industry 4.0 [1]- [3], Internet of Things (IoT) [4]- [6], and self-driving vehicles [7]- [10], require reliable low-latency communication that is untethered from cables [11], [12]. Proponents of these new technological paradigms have often deferred the provisioning of these required reliable lowlatency wireless communication services to the 5th Gener-ation (5G) mobile communication standard developed by the Third Generation Partnership Project (3GPP) [13]- [15].…”

Driver Fatigue Detection Systems Using Multi-Sensors, Smartphone, and Cloud-Based Computing Platforms: A Comparative Analysis

“…Many researchers identified driver drowsiness through mobile, sensors, and few of them utilized cloud-based architecture in the domain of IoT-based computing. In practice, the traditional network suffered from many limitations [ 125 ], such as high latency, packets dropout, high-energy consumption, and network congestion due to increased computational demands by the connected vehicles. To develop such an intelligent transportation system (ITS), there is a dire need to use IoT-technology for developing comprehensive and hybrid DFD systems.…”

“…To develop such an intelligent transportation system (ITS), there is a dire need to use IoT-technology for developing comprehensive and hybrid DFD systems. Authors suggested Vehicular ad hoc Networks (VANETs) [ 125 , 126 , 127 , 128 , 129 ], technology that can be used to enhance cloud-based and wireless architecture to process complex and huge data processing for vehicles. As a result, the VANETs became the main and important part of ITS technology to increase traffic mobility and efficiency.…”

Artificial intelligence based handover decision and network selection in heterogeneous internet of vehicles

“…IoV is developed by integrating the intelligent transportation system (ITS) and the internet of things (IoT). IoV integrates with heterogeneous network 5G that composes different radio access networks [1]- [4]. In general, IoV vehicles employs IEEE 802.11p for processing which is reliable for periodic data transmission but still it is insufficient to serve spectrum usages.…”