Zobrazeno 1 - 10
of 5 299
pro vyhledávání: '"Vehicular networks"'
Publikováno v:
Journal of Cloud Computing: Advances, Systems and Applications, Vol 13, Iss 1, Pp 1-14 (2024)
Abstract As the Internet of Vehicles advances, the demand for timely data acquisition by vehicle users continues to escalate, albeit confronted with the challenge of excessive data retrieval latency. The emergence of edge computing provides technical
Externí odkaz:
https://doaj.org/article/ed2778bc88134876ae4f8e733f64364c
Autor:
Zeyad Ghaleb Al-Mekhlafi, Saima Anwar Lashari, Mahmood A. Al-Shareeda, Badiea Abdulkarem Mohammed, Abdulaziz M. Alayba, Ahmed M. Shamsan Saleh, Hamad A. Al-Reshidi, Khalil Almekhlafi
Publikováno v:
IEEE Access, Vol 12, Pp 141514-141527 (2024)
The functional characteristics of existing inter-vehicle communication networks are used to offer a certificateless authentication scheme that integrates fifth-generation (5G) communication and fog computing. Thus, CLA-FC5G, a novel certificateless a
Externí odkaz:
https://doaj.org/article/7d58d81320834b2caea387a5b9fb478e
Publikováno v:
Transport and Telecommunication, Vol 25, Iss 1, Pp 31-42 (2024)
Road traffic in metropolitan cities is increasing at enormous rates resulting in congestion. Vehicles rendering emergency services like ambulances, fire engines, law enforcement vehicles, etc., act as lifelines and should be looked into with the high
Externí odkaz:
https://doaj.org/article/1fdd511d0e3a4d75b3b7386760cb0b48
Publikováno v:
IEEE Access, Vol 12, Pp 167413-167425 (2024)
With the developments of the intelligent vehicles, the most significant contradiction is coming to the limited computing resource and the unlimited requirements. Task offloading has been proposed to overcome this. Most of the existing task offloading
Externí odkaz:
https://doaj.org/article/e20ee5079b724fcb9d70b1c8c9b83640
Publikováno v:
IEEE Access, Vol 12, Pp 138763-138788 (2024)
The Internet of Things (IoT) and advanced human-centred technologies have seen rapid expansion in smart city applications, including smart enterprises, homes, and vehicular networks. The IoT architecture underpins technological support for both human
Externí odkaz:
https://doaj.org/article/f8ca64848a8a419ebbeea36ead7cf9af
Autor:
Alessandro E. C. Redondi, Corrado Innamorati, Silvia Gallucci, Serena Fiocchi, Francesco Matera
Publikováno v:
IEEE Access, Vol 12, Pp 133165-133182 (2024)
Millimeter-wave communications (mmWave) are gaining significant attention for their diverse applications across various domains, being key for the development of ultra-fast, low-latency wireless systems. This paper surveys the main application use ca
Externí odkaz:
https://doaj.org/article/89a97a79df634c08b84c06bad02906fe
Publikováno v:
IEEE Open Journal of Vehicular Technology, Vol 5, Pp 1124-1138 (2024)
Standalone autonomous vehicles primarily rely on their onboard sensors and may have blind spots or limited situational awareness in complex or dynamic traffic scenarios, leading to difficulties in making safe decisions. Collective perception enables
Externí odkaz:
https://doaj.org/article/971d1911b5b44220aef40c3507bfb39c
Publikováno v:
IEEE Access, Vol 12, Pp 96449-96461 (2024)
Machine Learning (ML) has emerged as a promising tool for addressing complex challenges in multiple domains. In the context of Vehicular Ad-Hoc Networks (VANETs), ML has gained much more attention due to its ability to solve major known problems in a
Externí odkaz:
https://doaj.org/article/eece83633b0d4663aefaf4a3216e9a46
Publikováno v:
IEEE Access, Vol 12, Pp 87199-87216 (2024)
Delivering real-time multimedia content for safety applications over vehicular networks presents significant challenges due to rapidly changing network topology, high node mobility, and fluctuating traffic demands, compounded by substantial data volu
Externí odkaz:
https://doaj.org/article/e4cd30ffd79b49eaac678053a1a78797
Publikováno v:
IEEE Access, Vol 12, Pp 72155-72169 (2024)
Federated Learning (FL) has rapidly become a crucial paradigm for training Machine Learning (ML) models when datasets are spread across several devices without compromising the privacy of the data owners. In vehicular networks, FL can be used to trai
Externí odkaz:
https://doaj.org/article/83e496fba2d74114997a272637c27f16