Computer Networks, Год журнала: 2024, Номер 244, С. 110339 - 110339
Опубликована: Март 16, 2024
Язык: Английский
Vehicular Communications, Год журнала: 2023, Номер 43, С. 100638 - 100638
Опубликована: Июль 11, 2023
Язык: Английский
Процитировано
52
Sensors, Год журнала: 2024, Номер 24(2), С. 337 - 337
Опубликована: Янв. 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.
Язык: Английский
Процитировано
7
Wireless Networks, Год журнала: 2022, Номер 29(3), С. 1237 - 1267
Опубликована: Ноя. 23, 2022
Язык: Английский
Процитировано
27
IEEE Access, Год журнала: 2023, Номер 11, С. 54476 - 54494
Опубликована: Янв. 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).
Язык: Английский
Процитировано
15
Journal of Network and Computer Applications, Год журнала: 2023, Номер 219, С. 103726 - 103726
Опубликована: Авг. 26, 2023
Язык: Английский
Процитировано
15
Опубликована: Июнь 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.
Язык: Английский
Процитировано
21
Journal of Artificial Intelligence and Technology, Год журнала: 2023, Номер unknown
Опубликована: Март 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.
Язык: Английский
Процитировано
11
Computer Networks, Год журнала: 2025, Номер unknown, С. 111026 - 111026
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Network, Год журнала: 2025, Номер 5(1), С. 4 - 4
Опубликована: Фев. 14, 2025
The issue of organizing efficient interaction between vehicle-to-everything (V2X) system elements has become increasingly critical in recent years. Utilizing V2X technology enables achieving the necessary balance safety, reducing load, and ensuring a high degree vehicle automation. This study aims to develop simulation for applications various element placement configurations conduct numerical analysis several schemes. research analyzes methods, including clustering, edge computing, fog aimed at minimizing losses. results demonstrate that each proposed model can be effectively implemented on mobile nodes. also provide insights into average expected request processing times, thereby enhancing organization system. authors propose distribution parameters resources diverse computational tasks, which is essential successful implementation utilization technology.
Язык: Английский
Процитировано
0
Computer Networks, Год журнала: 2025, Номер unknown, С. 111158 - 111158
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0