5G, Vehicle to Everything Communication: Opportunities, Constraints and Future Directions

Manale, Boughanja; Mazri, Tomader

doi:10.25046/aj0506132

Cited by 4 publications

(4 citation statements)

References 28 publications

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“…In the case of the third one, we can fnd Sybil here; the attacking node spoofs many identities in the road network. Finally, in the last one, we can cite a location tracking attack; this consists of that the location of the vehicle through a certain period is considered as if it were a kind of personal data [26][27][28][29].…”

Section: Privacy Protectionmentioning

confidence: 99%

Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence

Palacios-Morocho,

Inca,

Monserrat

2024

Mobile Information Systems

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Fifth-generation (5G) technology is one of the keys to the Industrial Revolution known as Industry 4.0 as it provides faster connectivity and allows a greater number of devices to be connected simultaneously. In the transport sector, newly produced vehicles are equipped with various sensors and applications to help drivers perform safe maneuvers. However, moving from semiautonomous to fully autonomous vehicles to cooperating systems remains a major challenge. Many researchers have focused on artificial intelligence (AI) techniques and the ability to share information to achieve this cooperative behavior. This information can be made up of different data, which can be obtained from different sensors such as laser imaging detection and ranging (LiDAR), radar, camera, global positioning system (GPS), or data related to the current speed, acceleration, or position. The combination of the different shared data is performed depending on the approach of each navigation algorithm. This data fusion will allow a better understanding of the environment but will overload the network, as the traffic generated will be massive. Therefore, this paper addresses the challenge of achieving this cooperation between vehicles from the point of view of network requirements and computational capacity. In addition, this study contributes to advancing theory into real-world practice by examining the performance of cooperative navigation algorithms in the midst of the migration of computational resources from onboard vehicle equipment to the cloud. In particular, it investigates the transition from a cooperative navigation algorithm based on a decentralized architecture to a semidecentralized one as computationally demanding processes previously performed onboard are performed in the cloud. Additionally, the paper discusses the indispensable role of 5G in fulfilling the escalating demands for high throughput and low latency in these services, particularly as the number of vehicles increases. The results of the tests show that the AI acting alone cannot achieve optimal performance, even using 100% of the computational capacity of the onboard equipment in the vehicle. However, a system that integrates 5G and AI-based joint decisions can achieve better performance, reduce the computational resources consumed in the vehicle, and increase the efficiency of collaborative choices by up to 83.3%.

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Section: Privacy Protectionmentioning

confidence: 99%

Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence

Palacios-Morocho,

Inca,

Monserrat

2024

Mobile Information Systems

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“…In this section, we have presented many applications and solutions implemented to ensure the security of 5G V2X communication to preserve and maintain the security of users. And we have been able to gather these solutions and summarize them into three categories [19]…”

Section: ) General Issuesmentioning

confidence: 99%

“…Our study found that the attack window decreases, and the protection against threats can be increased. Hence, the security of 5G-V2X represents a critical role [19]. For this fact, security solutions and possible remedies for identified and unidentified threats should be able to handle 5G-V2X implementation approaches and meet the security requirements.…”

Section: Proposed Approachmentioning

confidence: 99%

Security of communication 5G-V2X: A proposed approach based on securing 5G-V2X based on Blockchain

Manale

Mazri

2022

ITM Web Conf.

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With the rapid evolution of wireless communication and autonomous vehicles, vehicle to Everything (V2X) communications provides driving safety, traffic efficiency, and real-time traffic information in-vehicle networks. V2X has evolved by integrating 5G cellular access technology and New Radio (NR) into V2X communications (i.e., 5G NR V2X). Since the security issue in 5G-V2X remains a crucial point, we conducted a literature review approach and identified the 5G-V2X communication levels in this paper. The main objective of this study was to develop an approach to secure 5G-V2X. The proposed methodology is based on Blockchain to ensure the 5G-V2X architecture levels.

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“…5G, which is a new global standard of communication, is especially designed for the purpose of forward compatibility and to flexibly support services like mission-critical communication, mobile broadband, IOT, cloud-based services, and D2D communication [1]. With the increasing demand for QoS and the data transfer speed for mobile networks, there is still a requirement for new communication technologies [2,3]. Due to the compatibility features, Cloud Assisted MANET, which is the combination of Cloud and Mobile Ad-Hoc Network, has received a lot of interest from researchers today.…”

Section: Introductionmentioning

confidence: 99%

A Node Monitoring Agent based Handover Mechanism for Effective Communication in Cloud-Assisted MANETs in 5G

B¹,

Babu²

2022

IJACSA

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As nodes often join or leave the network, the communication between the cloud and the MANET remains unreliable in Cloud-Assisted MANET. The event of connection failure in MANET presents several challenges to the network, in particular, the handover issue and high energy consumption during route re-establishment if a connection fails in D2D (device-to-device) communication networks. To address this problem of D2D mobile communication in 5G, we propose a Node Monitoring Agent Based Handover Mechanism (NMABHM). To improve the network's efficiency, we use the Kmeans algorithm for clustering and cluster head selection in Hybrid MANET and maintain a backup routing table based on a Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to quickly recover the route. Additionally, a Node Monitoring Agent (NMA) is introduced to handle the handover issue if a node comes out of range during the communication phase. The NMABHM-based handover mechanism is proposed with group mobility over a cluster-based architecture involving agents. The results of the simulation indicate that, in terms of lower energy consumption and higher throughput, our proposed mechanism is more effective than the current routing mechanisms.

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5G, Vehicle to Everything Communication: Opportunities, Constraints and Future Directions

Cited by 4 publications

References 28 publications

Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence

Performance Evaluation of Onboard Processing Capability Reduction in Cooperative Vehicles Using 5G and Artificial Intelligence

Security of communication 5G-V2X: A proposed approach based on securing 5G-V2X based on Blockchain

A Node Monitoring Agent based Handover Mechanism for Effective Communication in Cloud-Assisted MANETs in 5G

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