Results 11 to 20 of about 9,831 (263)
Role of Machine Learning in Resource Allocation Strategy over Vehicular Networks: A Survey
Sensors, 2021 The increasing demand for smart vehicles with many sensing capabilities will escalate data traffic in vehicular networks. Meanwhile, available network resources are limited.
Ida Nurcahyani, Jeong Woo Lee
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On Piggybacking in Vehicular Networks [PDF]
2011 IEEE Global Telecommunications Conference - GLOBECOM 2011, 2011 This work is motivated by network applications that require nodes to disseminate their state to others. In particular, vehicular nodes will host applications that periodically disseminate time-critical state across the network to help improve on-road safety.
Sanjit Krishnan Kaul +2 more
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VLC Network Design for High Mobility Users in Urban Tunnels
Sensors, 2021 Current vehicular systems require real-time information to keep drivers safer and more secure on the road. In addition to the radio frequency (RF) based communication technologies, Visible Light Communication (VLC) has emerged as a complementary way to ...
Edmundo Torres-Zapata +4 more
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Software-Defined Optimal Computation Task Scheduling in Vehicular Edge Networking
Sensors, 2021 With the development of smart vehicles and various vehicular applications, Vehicular Edge Computing (VEC) paradigm has attracted from academic and industry.
Zhiyuan Li, Ershuai Peng
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Security games for vehicular networks [PDF]
2008 46th Annual Allerton Conference on Communication, Control, and Computing, 2008 Vehicular ad-hoc networks (VANETs) enabling vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications is an emerging research field aiming to improve transportation security, reliability, and management. To better understand networking and security aspects of VANETs, we have been investigating network connectivity issues and mappings ...
Tansu Alpcan, Sonja Buchegger
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Cooperative Transmission Mechanism Based on Revenue Learning for Vehicular Networks
Applied Sciences, 2022 With the rapid development of science and technology and the improvement of people’s living standards, vehicles have gradually become the main means of travel. The increase in vehicles has also brought about an increasing incidence of car accidents.
Mingyang Chen +6 more
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Network slicing for vehicular communication [PDF]
Transactions on Emerging Telecommunications Technologies, 2019 AbstractUltra‐reliable vehicle‐to‐everything (V2X) communication is essential for enabling the next generation of intelligent vehicles. V2X communication is a growing area of communication that connects vehicles to neighboring vehicles (V2V), infrastructure (V2I), and pedestrians (V2P).
Hamza Khan 0001 +4 more
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On the Capacity of a Linear Vehicular Network [PDF]
2011 IEEE 73rd Vehicular Technology Conference (VTC Spring), 2011 Intelligent Transport Systems envision many applications relying only on vehicle-to-vehicle communications. Depending on the application (road safety, driver information, infotainment...), the requirements are different in terms of throughput, delay and loss rate. This paper explores the performances issues of a convoy of vehicles on the road, in order
El Ali, Farah +2 more
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Services and simulation frameworks for vehicular cloud computing: a contemporary survey
EURASIP Journal on Wireless Communications and Networking, 2019 Vehicular cloud is getting significant research attention due to the technological advancements in smart vehicles. In near future, vehicles are envisioned to become part of a grid network providing cloud services, such as computing, storage, network, and
Bilal Ahmed +3 more
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IEEE Access, 2023 Reinforcement Learning (RL) is a popular approach for deciding on an optimum traffic signal control policy to alleviate congestion in a road network.
Xiangxue Zhao +3 more
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