TRACE 发表于 2025-3-23 12:54:58
Communication and Networking Technologies in Internet of Vehicles,em model and confronting problems. In addition, this chapter introduces Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Pedestrian (V2P), Vehicle-to-Network/Cloud (V2N/C), and trajectory-based communication modes. Finally, some use cases are discussed to list related work.Neutropenia 发表于 2025-3-23 16:30:50
Decentralized Trust Management System for VANETs, content among network entities. This chapter first introduces the basic concepts of trust in VANETs, then reviews analyze, and compares some recently proposed trust management mechanisms. Finally, this chapter discusses the current challenges and future research hotspots of VANETs trust management.bronchiole 发表于 2025-3-23 18:56:07
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The Overview of Non-orthogonal Multiple Access in Vehicle-to-Vehicle Communication, still several open issues in the transceiver design. The goal of this chapter is to bring this upcoming trend to the attention of the communications communities and to motivate more research in this important area.Tractable 发表于 2025-3-24 05:14:02
Book 2023s, transport and charging services, cyber-security, etc. The book benefits researchers, engineers, and graduate students in the fields of the intelligent transport system, telecommunication, cyber-security, and smart grids..Cryptic 发表于 2025-3-24 09:57:56
https://doi.org/10.1007/978-981-10-5236-1o help intelligent vehicles grab the prior information. Besides, vehicles can use the predictor to manage the path planning and the energy management in advance to achieve the optimized control effect.drusen 发表于 2025-3-24 12:05:29
http://reply.papertrans.cn/17/1664/166388/166388_17.png最低点 发表于 2025-3-24 17:23:46
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http://reply.papertrans.cn/17/1664/166388/166388_19.pngmaladorit 发表于 2025-3-25 03:04:56
Energy Efficient Control of Vehicles,ever, the problem of how to effectively improve the economy has been a hot spot and difficult research point of the vehicle control strategy. Therefore, this chapter introduced the mainstream algorithms currently used as energy management strategies, and analysed the advantages of each method. This