2,786 research outputs found

    Geographic Centroid Routing for Vehicular Networks

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    A number of geolocation-based Delay Tolerant Networking (DTN) routing protocols have been shown to perform well in selected simulation and mobility scenarios. However, the suitability of these mechanisms for vehicular networks utilizing widely-available inexpensive Global Positioning System (GPS) hardware has not been evaluated. We propose a novel geolocation-based routing primitive (Centroid Routing) that is resilient to the measurement errors commonly present in low-cost GPS devices. Using this notion of Centroids, we construct two novel routing protocols and evaluate their performance with respect to positional errors as well as traditional DTN routing metrics. We show that they outperform existing approaches by a significant margin.Comment: 6 page

    Exploiting Map Topology Knowledge for Context-predictive Multi-interface Car-to-cloud Communication

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    While the automotive industry is currently facing a contest among different communication technologies and paradigms about predominance in the connected vehicles sector, the diversity of the various application requirements makes it unlikely that a single technology will be able to fulfill all given demands. Instead, the joint usage of multiple communication technologies seems to be a promising candidate that allows benefiting from characteristical strengths (e.g., using low latency direct communication for safety-related messaging). Consequently, dynamic network interface selection has become a field of scientific interest. In this paper, we present a cross-layer approach for context-aware transmission of vehicular sensor data that exploits mobility control knowledge for scheduling the transmission time with respect to the anticipated channel conditions for the corresponding communication technology. The proposed multi-interface transmission scheme is evaluated in a comprehensive simulation study, where it is able to achieve significant improvements in data rate and reliability

    ์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

    Video Streaming over Vehicular Ad Hoc Networks: A Comparative Study and Future Perspectives

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    Vehicularย  Ad Hoc Networkย  (VANET) is emerged as an important research area that providesย ubiquitous short-range connectivity among moving vehicles. ย This network enables efficient traffic safety and infotainment applications. One of the promising applications is video transmission in vehicle-to-vehicle or vehicle-to-infrastructure environments.ย  But, video streaming over vehicular environment is a daunting task due to high movement of vehicles. This paper presents a survey on state-of-arts of video streaming over VANET. Furthermore, taxonomy of vehicular video transmission is highlighted in this paper with special focus on significant applications and their requirements with challenges, video content sharing, multi-source video streaming and video broadcast services. The comparative study of the paper compares the video streaming schemes based on type of error resilient technique, objective of study, summary of their study, the utilized simulator and the type of video sharing.ย  Lastly, we discussed the open issues and research directions related to video communication over VANET
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