213 research outputs found

    Heterogeneous V2V Communications in Multi-Link and Multi-RAT Vehicular Networks

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    Connected and automated vehicles will enable advanced traffic safety and efficiency applications thanks to the dynamic exchange of information between vehicles, and between vehicles and infrastructure nodes. Connected vehicles can utilize IEEE 802.11p for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications. However, a widespread deployment of connected vehicles and the introduction of connected automated driving applications will notably increase the bandwidth and scalability requirements of vehicular networks. This paper proposes to address these challenges through the adoption of heterogeneous V2V communications in multi-link and multi-RAT vehicular networks. In particular, the paper proposes the first distributed (and decentralized) context-aware heterogeneous V2V communications algorithm that is technology and application agnostic, and that allows each vehicle to autonomously and dynamically select its communications technology taking into account its application requirements and the communication context conditions. This study demonstrates the potential of heterogeneous V2V communications, and the capability of the proposed algorithm to satisfy the vehicles' application requirements while approaching the estimated upper bound network capacity

    On the design and deployment of multitier heterogeneous and adaptive vehicular networks

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    A survey on vehicular communication for cooperative truck platooning application

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    Platooning is an application where a group of vehicles move one after each other in close proximity, acting jointly as a single physical system. The scope of platooning is to improve safety, reduce fuel consumption, and increase road use efficiency. Even if conceived several decades ago as a concept, based on the new progress in automation and vehicular networking platooning has attracted particular attention in the latest years and is expected to become of common implementation in the next future, at least for trucks.The platoon system is the result of a combination of multiple disciplines, from transportation, to automation, to electronics, to telecommunications. In this survey, we consider the platooning, and more specifically the platooning of trucks, from the point of view of wireless communications. Wireless communications are indeed a key element, since they allow the information to propagate within the convoy with an almost negligible delay and really making all vehicles acting as one. Scope of this paper is to present a comprehensive survey on connected vehicles for the platooning application, starting with an overview of the projects that are driving the development of this technology, followed by a brief overview of the current and upcoming vehicular networking architecture and standards, by a review of the main open issues related to wireless communications applied to platooning, and a discussion of security threats and privacy concerns. The survey will conclude with a discussion of the main areas that we consider still open and that can drive future research directions.(c) 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/)

    Quality of Service and Associated Communication Infrastructure for Electric Vehicles โ€ 

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    Transportation electrification is pivotal for achieving energy security and emission reduction goals. Electric vehicles (EVs) are at the forefront of this transition, driving the development of new EV technologies and infrastructure. As this trend gains momentum, it becomes essential to enhance the quality of service (QoS) of EVs to encourage their widespread adoption. This paper has been structured with two primary aims to effectively address the above timely technological needs. Firstly, it comprehensively reviews the various QoS factors that influence EVsโ€™ performance and the user experience. Delving into these factors provides valuable insights into how the QoS can be improved, thereby fostering the increased use of EVs on our roads. In addition to the QoS, this paper also explores recent advancements in communication technologies vital for facilitating in-formation exchanges between EVs and charging stations. Efficient communication systems are crucial for optimizing EV operations and enhancing user experiences. This paper presents expert-level technical details in an easily understandable manner, making it a valuable resource for researchers dedicated to improving the QoS of EV communication systems, who are tirelessly working towards a cleaner, more efficient future in transportation. It consolidates the current knowledge in the field and presents the latest discoveries and developments, offering practical insights for enhancing the QoS in electric transportation. A QoS parameter reference map, a detailed classification of QoS parameters, and a classification of EV communication technology references are some of the key contributions of this review paper. In doing so, this paper contributes to the broader objectives of promoting transportation electrification, enhancing energy security, and reducing emissions

    An intelligent path management in heterogeneous vehicular networks

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    Achieving reliable connectivity in heterogeneous vehicular networks is a challenging task, owing to rapid topological changes and unpredictable vehicle speeds. As vehicular communication demands continue to evolve, multipath connectivity is emerging as an important tool, which promises to enhance network interoperability and reliability. Given the limited coverage area of serving access technologies, frequent disconnections are to be expected as the vehicle moves. To ensure seamless communication in dynamic vehicular environments, an intelligent path management algorithm for Multipath TCP (MPTCP) has been proposed. The algorithm utilizes a network selection mechanism based on Fuzzy Analytic Hierarchy Process (FAHP), which dynamically assigns the most appropriate underlying network for each running application. The selection process takes into account multiple factors, such as path quality, vehicle mobility, and service characteristics. In contrast to existing solutions, our proposed method offers a dynamic and comprehensive approach to network selection that is tailored to the specific needs of each service to ensure that it is always paired with the optimal access technology. The results of the evaluation demonstrate that the proposed method is highly effective in maintaining service continuity during vertical handover. By tailoring the network selection to the specific needs of each application, our path manager is able to ensure optimal connectivity and performance, even in challenging vehicular environments, delivering a better user experience, with more reliable connections, and smoother data transfers.FCT - Fundaรงรฃo para a Ciรชncia e a Tecnologia(PD/BDE/150506/2019

    ์ž์œจ์ฃผํ–‰์„ ์œ„ํ•œ V2X ๊ธฐ๋ฐ˜ ์ฐจ๋Ÿ‰ CDN ์„ค๊ณ„

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณตํ•™์ „๋ฌธ๋Œ€ํ•™์› ์‘์šฉ๊ณตํ•™๊ณผ, 2021. 2. ๊น€์„ฑ์šฐ.Recent technical innovation has driven the evolution of autonomous vehicles. To improve safety as well as on-road vehicular experience, vehicles should be connected with each other or to vehicular networks. Some specification groups, e.g., IEEE and 3GPP, have studied and released vehicular communication requirements and architecture. IEEEs Wireless Access in Vehicular Environment focuses on dedicated and short-range communication, while 3GPPs New radio V2X supports not only sidelink but also uplink communication. The 3GPP Release 16, which supports 5G New Radio, offers evolved functionalities such as network slice, Network Function Virtualization, and Software-Defined Networking. In this study, we define and design a vehicular network architecture compliant with 5G core networks. For localization of autonomous driving vehicles, a high-definition map needs to contain the context of trajectory . We also propose new methods by which autonomous vehicles can push and pull map content efficiently, without causing bottlenecks on the network core. We evaluate the performance of V2X and of the proposed caching policy via network simulations. Experimental results indicate that the proposed method improves the performance of vehicular content delivery in real-world road environments.์ตœ๊ทผ๋“ค์–ด ๊ธฐ์ˆ ์˜ ํ˜์‹ ์€ ์ž์œจ์ฃผํ–‰ ์ž๋™์ฐจ์˜ ๋ฐœ์ „์„ ๊ฐ€์†ํ™” ํ•˜๊ณ  ์žˆ๋‹ค. ๋ณด๋‹ค ๋†’์€ ์ˆ˜์ค€์˜ ์ž์œจ ์ฃผํ–‰์„ ๊ตฌํ˜„ํ•˜๊ธฐ ์œ„ํ•ด์„œ, ์ฐจ๋Ÿ‰์€ ๋„คํŠธ์›Œํฌ๋ฅผ ํ†ตํ•ด ์„œ๋กœ ์—ฐ๊ฒฐ๋˜์–ด ์žˆ์–ด์•ผ ํ•˜๊ณ  ์ฐจ๋Ÿ‰์˜ ์•ˆ์ „๊ณผ ํŽธ์˜์„ฑ์„ ํ–ฅ์ƒ ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ์ •๋ณด๋ฅผ ๊ณต์œ  ํ•  ์ˆ˜ ์žˆ์–ด์•ผ ํ•œ๋‹ค. ํ‘œ์ค€ํ™” ๋‹จ์ฒด์ธ IEEE์™€ 3GPP๋Š” ์ฐจ๋Ÿ‰ ํ†ต์‹  ์š”๊ตฌ์‚ฌํ•ญ, ์•„ํ‚คํ…์ฒ˜๋ฅผ ์—ฐ๊ตฌํ•˜๊ณ  ๊ฐœ์ •ํ•ด์™”๋‹ค. IEEE๊ฐ€ ์ „์šฉ ์ฑ„๋„์„ ํ†ตํ•œ ๊ทผ์ ‘ ์ง€์—ญ ํ†ต์‹ ์— ์ดˆ์ ์„ ๋งž์ถ”๋Š” ๋ฐ˜๋ฉด์—, 3GPP์˜ New Radio V2X๋Š” Sidelink ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ Uplink ํ†ต์‹ ์„ ๋™์‹œ์— ์ง€์›ํ•œ๋‹ค. 5G ํ†ต์‹ ์„ ์ง€์›ํ•˜๋Š” 3GPP Release 16์€ Network Slice, NFV, SDN๊ณผ ๊ฐ™์€ ์ƒˆ๋กœ์šด ํ†ต์‹  ๊ธฐ๋Šฅ๋“ค์„ ์ œ๊ณตํ•œ๋‹ค. ์ด ์—ฐ๊ตฌ์—์„œ๋Š” ์ƒˆ๋กญ๊ฒŒ ์ •์˜๋œ 5G Core Network Architecture๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ฐจ๋Ÿ‰ ๋„คํŠธ์›Œํฌ๋ฅผ ์ •์˜ํ•˜๊ณ  ์„ค๊ณ„ํ•˜์˜€๋‹ค. ์ž์œจ์ฃผํ–‰ ์ž๋™์ฐจ์˜ ์ธก์œ„๋ฅผ ์œ„ํ•ด์„œ, ๊ณ ํ•ด์ƒ๋„ ์ง€๋„๋Š” ๊ฐ ๊ตฌ์„ฑ์š”์†Œ๋“ค์˜ ์˜๋ฏธ์™€ ์†์„ฑ์„ ์ž์„ธํ•˜๊ฒŒ ํฌํ•จํ•˜๊ณ  ์žˆ์–ด์•ผ ํ•œ๋‹ค. ์šฐ๋ฆฌ๋Š” ์ด ์—ฐ๊ตฌ์—์„œ V2X ๋„คํŠธ์›Œํฌ ์ƒ์— HD map์„ ์ค‘๊ณ„ํ•  ์ˆ˜ ์žˆ๋Š” Edge Server๋ฅผ ์ œ์•ˆ ํ•จ์œผ๋กœ์จ, ์ค‘์•™์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๋ณ‘๋ชฉํ˜„์ƒ์„ ์ค„์ด๊ณ  ์ „์†ก Delay๋ฅผ ์ตœ์†Œํ™”ํ•œ๋‹ค. ๋˜ํ•œ Edge์˜ ์ปจํ…์ธ ๋ฅผ ๋“ฑ๋กํ•˜๊ณ  ์‚ญ์ œํ•˜๋Š” ์ •์ฑ…์œผ๋กœ ๊ธฐ์กด์˜ LRU, LFU๊ฐ€ ์•„๋‹Œ ์ƒˆ๋กœ์šด ์ปจํ…์ธ  ๊ต์ฒด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ์‹ค์ œ ์ฃผํ–‰ ์‹œํ—˜๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ํ†ตํ•œ ์‹คํ—˜์„ ํ†ตํ•ด ์ „์†ก ํ’ˆ์งˆ์„ ํ–ฅ์ƒ์‹œ์ผฐ์œผ๋ฉฐ, Edge ์ปจํ…์ธ ์˜ ํ™œ์šฉ๋„๋ฅผ ๋†’์˜€๋‹ค.I. Introduction 1 II. Related Works 6 2.1 V2X Standardization 6 2.1.1 IEEE WAVE 6 2.1.2 3GPP C-V2X 9 2.2 Geographic Contents 14 2.3 Vehicular Content Centric Network 17 III. System Modeling 20 3.1 NR-V2X Architecture Analysis 20 3.2 Caching Strategy for HD Map Acquisition 23 IV. Evaluation 30 4.1 Contents Replacement Strategy 30 4.2 V2X Characteristics 36 4.3 Edge Performance in Driving on the Road 38 4.4 Edge Performance on 3D Point Clouds Caching for Localization 44 V. Conclusion 47 Bibliography 49 Abstract 54Maste

    230501

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    Cooperative Vehicular Platooning (Co-VP) is a paradigmatic example of a Cooperative Cyber-Physical System (Co-CPS), which holds the potential to vastly improve road safety by partially removing humans from the driving task. However, the challenges are substantial, as the domain involves several topics, such as control theory, communications, vehicle dynamics, security, and traffic engineering, that must be coupled to describe, develop and validate these systems of systems accurately. This work presents a comprehensive survey of significant and recent advances in Co-VP relevant fields. We start by overviewing the work on control strategies and underlying communication infrastructures, focusing on their interplay. We also address a fundamental concern by presenting a cyber-security overview regarding these systems. Furthermore, we present and compare the primary initiatives to test and validate those systems, including simulation tools, hardware-in-the-loop setups, and vehicular testbeds. Finally, we highlight a few open challenges in the Co-VP domain. This work aims to provide a fundamental overview of highly relevant works on Co-VP topics, particularly by exposing their inter-dependencies, facilitating a guide that will support further developments in this challenging field.info:eu-repo/semantics/publishedVersio
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