Online two-timescale service placement for time-sensitive applications in MEC-assisted network: A TMAGRL approach DOI
An Du, Jie Jia, Jian Chen

et al.

Computer Networks, Journal Year: 2024, Volume and Issue: 244, P. 110339 - 110339

Published: March 16, 2024

Language: Английский

Revolutionizing Intelligent Transportation Systems with Cellular Vehicle-to-Everything (C-V2X) technology: Current trends, use cases, emerging technologies, standardization bodies, industry analytics and future directions DOI

Dhinesh Kumar R,

A. Rammohan

Vehicular Communications, Journal Year: 2023, Volume and Issue: 43, P. 100638 - 100638

Published: July 11, 2023

Language: Английский

Citations

49

Empowering the Vehicular Network with RIS Technology: A State-of-the-Art Review DOI Creative Commons

Farheen Naaz,

Ali Nauman, Tahir Khurshaid

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(2), P. 337 - 337

Published: Jan. 5, 2024

Reconfigurable intelligent surfaces (RIS) are expected to bring about a revolutionary transformation in vehicular networks, thus paving the way for future characterized by connected and automated vehicles (CAV). An RIS is planar structure comprising many passive elements that can dynamically manipulate electromagnetic waves enhance wireless communication reflecting, refracting, focusing signals programmable manner. exhibits substantial potential improving vehicle-to-everything (V2X) through various means, including coverage enhancement, interference mitigation, signal strength, providing additional layers of privacy security. This article presents comprehensive survey explores emerging opportunities arising from integration into networks. To examine convergence V2X communications, adopted holistic approach, highlighting benefits challenges this combination. In study, we examined several applications RIS-aided communication. Subsequently, delve fundamental technologies empower encompassing mobile edge computing (MEC), non-orthogonal multiple access (NOMA), millimeter-wave (mmWave), Artificial Intelligence (AI), visible light (VLC). Finally, stimulate further research domain, emphasize noteworthy avenues exploration.

Language: Английский

Citations

7

5G-enabled V2X communications for vulnerable road users safety applications: a review DOI
Chaima Zoghlami, Rahim Kacimi, Riadh Dhaou

et al.

Wireless Networks, Journal Year: 2022, Volume and Issue: 29(3), P. 1237 - 1267

Published: Nov. 23, 2022

Language: Английский

Citations

27

Blockchain Integration for IoT-Enabled V2X Communications: A Comprehensive Survey, Security Issues and Challenges DOI Creative Commons
Patruni Muralidhara Rao, Srinivas Jangirala,

P. Vidhya Saraswathi

et al.

IEEE Access, Journal Year: 2023, Volume and Issue: 11, P. 54476 - 54494

Published: Jan. 1, 2023

In V2X (vehicle-to-everything) communication, there is a two-way communication among the vehicle(s) and other Internet of Things (IoT)-enabled smart devices around it that may change how we need to drive. Due advancement Information Communications Technology (ICT) rapid development IoT in transportation, traditional applications are converted intelligent applications. communications, collected information from sources passes through low-latency, high-bandwidth, high-reliability links. With future adoption 5th generation mobile network (5G) beyond networks, continues produce huge volume data. However, collecting storing data securely blockchain-based storage extremely needed for immutability transparency. this survey article, convergence IoT, blockchain technologies, various security challenges their countermeasures discussed. Next, discuss respective services. Moreover, IoT-V2X architecture its enabling technologies discussed article. addition, also provide comprehensive analysis mechanisms. Finally, some important issues Blockchain Intelligent Transportation System (BITS).

Language: Английский

Citations

15

Contemporary advances in multi-access edge computing: A survey of fundamentals, architecture, technologies, deployment cases, security, challenges, and directions DOI
Mobasshir Mahbub, Raed M. Shubair

Journal of Network and Computer Applications, Journal Year: 2023, Volume and Issue: 219, P. 103726 - 103726

Published: Aug. 26, 2023

Language: Английский

Citations

15

Bringing webassembly to resource-constrained iot devices for seamless device-cloud integration DOI
Borui Li, Hongchang Fan, Yi Gao

et al.

Published: June 16, 2022

Recent years have witnessed the progressive integration between IoT (Internet of Things) devices and cloud server, which promotes efficiency interoperability applications. WebAssembly, known for its performance portability, is considered a promising technology to bridge heterogeneity server. Nevertheless, resource-constrained devices, are commonly deployed in wild, difficulty participating this device-cloud because they can hardly run WebAssembly efficiently.

Language: Английский

Citations

20

Intelligent Network Slicing in V2X Networks – A Comprehensive Review DOI Creative Commons
Mohammed Salah Abood, Hua Wang, Dongxuan He

et al.

Journal of Artificial Intelligence and Technology, Journal Year: 2023, Volume and Issue: unknown

Published: March 18, 2023

ABSTRACT- The rise of the internet things (IoT) and autonomous systems has made connecting vehicles more critical. Connected can create diverse communication networks that improve environment offer contemporary applications. With advent 5G networks, vehicle-to-everything (V2X) are expected to be highly intelligent, reside on superfast, reliable, low-latency connections. Network slicing, Machine Learning (ML), Deep (DL) related network automation optimization in V2X communication. (ML/DL) with slicing aims optimize performance, reliability network, personalized services, reduced costs, scalability enhance overall driving experience. These advantages ultimately lead a safer efficient transportation system. However, existing Long-Term Evolution (LTE) enabling technologies cannot meet such dynamic requirements without adding higher complexity levels. learning algorithms mitigate levels, which instrumental vehicular systems. This study review based proposed taxonomy describes enablers different configuration ML algorithm used control manage slice. also reviews various research works established through enable use cases, focusing considering management. enabler considered light requirements, particular configurations, underlying methods algorithms, some critical challenges possible solutions available. paper concludes future roadmap by discussing open issues directions.

Language: Английский

Citations

11

Energy-latency tradeoff for task offloading and resource allocation in vehicular edge computing DOI
Yi Long, Zhenyu Wang,

Shizhan Lan

et al.

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111026 - 111026

Published: Jan. 1, 2025

Language: Английский

Citations

0

Enabling efficient collection and usage of network performance metrics at the edge DOI Creative Commons
Antonio Calagna,

Stefano Ravera,

Carla Fabiana Chiasserini

et al.

Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111158 - 111158

Published: March 1, 2025

Language: Английский

Citations

0

Enhancing V2X Communication With Edge Computing for Real-Time Intelligent Transportation Systems DOI
Ankit Vatsa, N. Krishnaraj,

P. Savaridassan

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 209 - 228

Published: April 4, 2025

This chapter explores the integration of Vehicle-to-Everything (V2X) communication with edge computing to enhance capabilities Intelligent Transportation Systems (ITS). It discusses technical architecture and advantages combining these two technologies, a focus on improving processing real time data, reducing latency, & optimizing decision making. The examines role in enabling faster response times more efficient within V2X environments, while also addressing challenges potential solutions associated this integration. Key ITS applications such as smart traffic management, autonomous driving, emergency systems are analyzed, highlighting how can drive advancements road safety, operational efficiency, environmental sustainability urban transportation.

Language: Английский

Citations

0