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

Vehicular Communications, Год журнала: 2023, Номер 43, С. 100638 - 100638

Опубликована: Июль 11, 2023

Язык: Английский

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6G Networks and the AI Revolution—Exploring Technologies, Applications, and Emerging Challenges

Sensors, Год журнала: 2024, Номер 24(6), С. 1888 - 1888

Опубликована: Март 15, 2024

In the rapidly evolving landscape of wireless communication, each successive generation networks has achieved significant technological leaps, profoundly transforming way we connect and interact. From analog simplicity 1G to digital prowess 5G, journey mobile been marked by constant innovation escalating demands for faster, more reliable, efficient communication systems. As 5G becomes a global reality, laying foundation an interconnected world, quest even advanced leads us threshold sixth-generation (6G) era. This paper presents hierarchical exploration 6G networks, poised at forefront next revolution in technology. study delves into advancements that underpin need 6G, examining its key features, benefits, enabling technologies. We dissect intricacies cutting-edge innovations like terahertz ultra-massive MIMO, artificial intelligence (AI), machine learning (ML), quantum reconfigurable intelligent surfaces. Through meticulous analysis, evaluate strengths, weaknesses, state-of-the-art research these areas, offering wider view current progress potential applications networks. Central our discussion is transformative role AI shaping future By integrating ML, are expected offer unprecedented capabilities, from enhanced broadband groundbreaking areas smart cities autonomous integration heralds new era intelligent, self-optimizing promise redefine parameters connectivity interaction. also address critical challenges deployment hurdles regulatory concerns, providing holistic assessment barriers. highlighting interplay between technologies, this maps out lights path forward domain. aims be cornerstone resource, essential insights, addressing unresolved questions, stimulating further investigation multifaceted realm synergy aim illuminate field.

Язык: Английский

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Overview of Vehicle-to-Vehicle Energy Sharing Infrastructure

IEEE Access, Год журнала: 2024, Номер 12, С. 54567 - 54589

Опубликована: Янв. 1, 2024

Electric vehicles (EVs) play a pivotal role in fostering sustainable societies, industries, and economies. By curbing greenhouse gas emissions, enhancing air quality, promoting energy independence, they represent significant step toward greener future. As the global EV market continues to expand over coming decades, demand for charging stations (CSs) will inevitably surge, necessitating substantial investments from both governments private investors. In this context, vehicle-to-vehicle (V2V) sharing emerges as transformative solution that can offer owners flexibility security beyond reliance on conventional CSs. This survey delves into existing technologies harnessed V2V activities while addressing critical challenges ensure success of charge transfer system. It begins by outlining research methodology, followed an analysis technological landscape, pinpointing latest advancements identifying gaps technologies. result, it proposes comprehensive framework robust charge-sharing infrastructure. The also evaluates financial economic implications sharing, shedding light potential returns stakeholders Furthermore, discusses crucial policy regulatory considerations necessary smooth efficient integration systems infrastructures. elucidating solutions address implementation challenges, paper aims pave way successful adoption widespread deployment systems.

Язык: Английский

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Blockchain Integration for IoT-Enabled V2X Communications: A Comprehensive Survey, Security Issues and Challenges

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

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Robust Deep Learning Models for OFDM-Based Image Communication Systems in Intelligent Transportation Systems (ITS) for Smart Cities

Electronics, Год журнала: 2023, Номер 12(11), С. 2425 - 2425

Опубликована: Май 26, 2023

Internet of Things (IoT) ecosystem in smart cities demands fast, reliable, and efficient image data transmission to enable real-time Computer Vision (CV) applications. To fulfill these demands, an Orthogonal Frequency Division Multiplexing (OFDM)-based communication system has been widely utilized due its higher spectral efficiency rate. When adapting such a achieve fast reliable over fading channels, noise is introduced the signal which heavily distorts recovered image. This independently corrupts pixel values, however, certain intrinsic properties image, as spatial information, may remain intact, can be extracted multidimensional features (in convolution layers) interpreted top by Deep Learning (DL) model. Therefore, current study analyzes robustness DL models utilizing various OFDM-based systems for CV applications Intelligent Transportation Systems (ITS) environment. Our analysis shown that EfficientNetV2-based model achieved range 70–90% accuracy across different Rayleigh Fading channel. In addition, leveraging augmentation techniques further improves up 18%.

Язык: Английский

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Car-to-Car Communication Using RF Cognitive Radio With VLC Common Control Channel

IEEE Access, Год журнала: 2024, Номер 12, С. 89339 - 89352

Опубликована: Янв. 1, 2024

This paper combines the advantages of both cognitive radio (CR) and visible light communication (VLC) for car-to-car applications to achieve a high data rate with minimum (delay, outage probability, bit error (BER), cost). CR technology hops among existing frequency (RF) available channels increase RF spectrum usage efficiency dodge scarcity limitation. Moreover, using as license-free application will reduce running costs. However, CRs require common control channel (CCC) communicate availability map within network inform receiver end about change in transmitter-end channel. Therefore, CCC is bottleneck network. Then, we explore types CCCs discuss each them solve this issue. In proposed scheme, adopt VLC CCC. A MATLAB simulation framework built demonstrate capabilities through chosen metrics (i.e., rate, delay, cost, rate). Our results show that achieves up 90% licensed small probability 21.2% moderate BER delay. addition, presents placing second after type score 84.2% combined metric. conclusion, VLC's bright future expansion growth application, have proven worthy implementation practically modern cars.

Язык: Английский

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Vehicular Ad Hoc Network Interference Mitigation Using Digital Beamforming Approach in Roundabout Scenarios

IEEE Access, Год журнала: 2023, Номер 11, С. 108232 - 108244

Опубликована: Янв. 1, 2023

The Vehicular Ad Hoc Networks (VANETs) paradigm is a promising technology to enable the Internet of Vehicles (IoV) for future integration with 5G and 6G infrastructures in smart cities. However, VANET can be susceptible wireless interference, like co-channel which cause communication quality performance deteriorate, threatening vehicular safety applications, including traffic management accident prevention. Hence, requires practical interference mitigation strategies, such as digital beamforming, that mitigate signals from unwanted directions while improving reception desired adequate precision, helpful VANET's highly mobile environments. In this paper, review literature on beamforming techniques carried out examines their advantages limitations. Furthermore, an important contribution paper development experimental platform roundabout based simulations, where different algorithms, phase-shift Minimum-Variance Distortionless-Response (MVDR), are tested. results show MVDR algorithm leads improvement due its adaptability ad hoc Also, they thatMVDRadaptive improves Signal-to-Interference-plus-Noise Ratio (SINR) reduces outage event proportion compared non-beamforming conventional scenarios, highlighting potential changing Therefore, adaptive improve reliability VANETs, offering advanced network implementations cities infrastructures.

Язык: Английский

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Artificial intelligence powered internet of vehicles: securing connected vehicles in 6G

Indonesian Journal of Electrical Engineering and Computer Science, Год журнала: 2024, Номер 35(1), С. 213 - 213

Опубликована: Май 6, 2024

<div class="page" title="Page 1"><div class="layoutArea"><div class="column"><p>The rapid advancements in automotive technology and the emergence of next-generation networks such as 5G 6G are laying foundation for internet vehicles (IoV), a revolutionary concept to transform transportation systems. The convergence artificial intelligence (AI) connected IoV is driving paradigm shift sector, especially dynamic framework future networks. This survey paper provides thorough evolving AI-based security landscape. We explore key areas 5G/6G networks, focusing on complex interplay machine learning (ML) deep (DL) enhancing vehicle-to-everything (V2X) vehicles. Addressing unique challenges 6G, this outlines directions improving highlights open research issues. comprehensive survey, which aims provide information guidance both researchers practitioners, contributes detailed understanding issues associated with emerging era.</p></div></div></div>

Язык: Английский

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Collaborative Perception—The Missing Piece in Realizing Fully Autonomous Driving

Sensors, Год журнала: 2023, Номер 23(18), С. 7854 - 7854

Опубликована: Сен. 13, 2023

Environment perception plays a crucial role in enabling collaborative driving automation, which is considered to be the ground-breaking solution tackling safety, mobility, and sustainability challenges of contemporary transportation systems. Despite fact that computer vision for object undergoing an extraordinary evolution, single-vehicle systems' constrained receptive fields inherent physical occlusion make it difficult state-of-the-art techniques cope with complex real-world traffic settings. Collaborative (CP) based on various geographically separated nodes was developed break bottleneck automation. CP leverages vehicle-to-vehicle vehicle-to-infrastructure communication enable vehicles infrastructure combine share information comprehend surrounding environment beyond line sight field view enhance accuracy, lower latency, remove blind spots. In this article, we highlight need evolved version should address hindering realization level 5 AD use cases by comprehensively studying transition from classical perception. particular, discuss review creation at two different levels: vehicle infrastructure. Furthermore, also study technologies three message-sharing models, their comparison analyzing trade-off between accuracy transmitted data bandwidth used transmission, therein. Finally, range future directions addressed before higher autonomy hits roads.

Язык: Английский

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6G‐enabled internet of medical things

Expert Systems, Год журнала: 2023, Номер 41(1)

Опубликована: Окт. 18, 2023

Abstract Healthcare is the foremost concern for any country. UN has also fixed ‘good health’ and well‐being’ as its third sustainable development goal. CoVID‐19 era shown vulnerability of health infrastructure worldwide. As per WHO, aging population world would put enormous pressure on in coming decades. With lack healthcare professionals limited budget to achieve UNSDG goal‐3, IoMT with huge umbrella medical services applications can address these issues. 5G been deployed many countries vision 6G have finalized by different research groups. will help Internet Medical Things realize full potential. In this work, an open ‘6G enabled IoMT’ architecture presented. It integrate a wide number services. The limitations catering such network are highlighted. challenges issues presented light that be provided purposed architecture. A brief overview provided.

Язык: Английский

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