Computer Networks, Journal Year: 2024, Volume and Issue: 244, P. 110339 - 110339
Published: March 16, 2024
Language: Английский
Computer Networks, Journal Year: 2024, Volume and Issue: 244, P. 110339 - 110339
Published: March 16, 2024
Language: Английский
Vehicular Communications, Journal Year: 2023, Volume and Issue: 43, P. 100638 - 100638
Published: July 11, 2023
Language: Английский
Citations
49Sensors, 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
7Wireless Networks, Journal Year: 2022, Volume and Issue: 29(3), P. 1237 - 1267
Published: Nov. 23, 2022
Language: Английский
Citations
27IEEE 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
15Journal of Network and Computer Applications, Journal Year: 2023, Volume and Issue: 219, P. 103726 - 103726
Published: Aug. 26, 2023
Language: Английский
Citations
15Published: 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
20Journal 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
11Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111026 - 111026
Published: Jan. 1, 2025
Language: Английский
Citations
0Computer Networks, Journal Year: 2025, Volume and Issue: unknown, P. 111158 - 111158
Published: March 1, 2025
Language: Английский
Citations
0IGI 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