Results 1 to 10 of about 126,961 (259)
Role of Machine Learning in Resource Allocation Strategy over Vehicular Networks: A Survey [PDF]
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
doaj +2 more sources
Connectivity times in vehicular networks [PDF]
IEEE Communications Letters, 2018 We propose an analytical model that accurately captures the service advertisement and access mechanisms in IEEE 1609.4/IEEE 802.11p multi-channel vehicular networks where road-side units announce non-safety services to passing vehicles on a dedicated ...
Fiems, Dieter, Vinel, Alexey
core +4 more sources
Future Internet, 2023 In recent years, the need for computation-intensive applications in mobile networks requiring more storage, powerful processors, and real-time responses has risen substantially.
Ali Pashazadeh +2 more
doaj +1 more source
Vehicular Networks Emulation [PDF]
2010 Proceedings of 19th International Conference on Computer Communications and Networks, 2010 Many applications and protocols are planned for the so-called Intelligent Transportation Systems (ITS). Most of them are supposed to work in dynamic networks, such as the vehicular ad hoc networks (VANET). However, designing and studying distributed applications and protocols in such networks is not easy.
Buisset, Anthony +3 more
openaire +2 more sources
Machine learning in vehicular networking: An overview
Digital Communications and Networks, 2022 As vehicle complexity and road congestion increase, combined with the emergence of electric vehicles, the need for intelligent transportation systems to improve on-road safety and transportation efficiency using vehicular networks has become essential ...
Kang Tan +4 more
doaj +1 more source
A hybrid trust model based on communication and social trust for vehicular social networks
International Journal of Distributed Sensor Networks, 2022 Vehicular social networks are emerging hybrid networks that combine traditional vehicular networks and social networks, with two key types of nodes, that is, vehicles and drivers.
Na Fan +3 more
doaj +1 more source
Vehicular Sensor Networks: Applications, Advances and Challenges
Sensors, 2020 Vehicular sensor networks (VSN) provide a new paradigm for transportation technology and demonstrate massive potential to improve the transportation environment due to the unlimited power supply of the vehicles and resulting minimum energy constraints ...
Fatih Kurugollu +4 more
doaj +1 more source
Interference Characterization in Cellular-Assisted Vehicular Communications With Jamming
IEEE Access, 2022 The automobile industry has been evolving with rapid growth over the last two decades. Conventionally, the narrow band dedicated short-range communications is used for the wireless connectivity of vehicular networks in the automobile industry.
Mohammad Arif +2 more
doaj +1 more source
Raptor codes for infrastructure-to-vehicular broadcast services [PDF]
, 2011 One of the important applications to be available in vehicular ad-hoc networks are value-added or infotainment services. However, vehicular communication suffers from high packet loss due to challenging channel characteristics such as huge Doppler spread
Abdullah, NF, Doufexi, A, Piechocki, RJ
core +2 more sources
MHAV: multitier heterogeneous adaptive vehicular network with LTE and DSRC [PDF]
, 2017 Enabling cooperation between vehicles form vehicular networks, which provide safety, traffic efficiency and infotainment. The most vital of these applications require reliability and low latency.
Ansari, S. +4 more
core +2 more sources