Comprehensive survey on machine learning in vehicular network: Technology, applications and challenges
Towards future intelligent vehicular network, the machine learning as the promising artificial
intelligence tool is widely researched to intelligentize communication and networking …
intelligence tool is widely researched to intelligentize communication and networking …
A comprehensive survey on clustering in vehicular networks: Current solutions and future challenges
Vehicular networks are on the verge of deployment, thanks to the advancements in
computation and communication technologies. This breed of ad hoc networks leverages …
computation and communication technologies. This breed of ad hoc networks leverages …
A fair and cooperative mac protocol for heterogeneous cognitive radio enabled vehicular ad-hoc networks
Advancements in intelligent transportation necessitate a dependable medium access control
(MAC) protocol to enable high-priority safety broadcasts. Implementing cognitive radio …
(MAC) protocol to enable high-priority safety broadcasts. Implementing cognitive radio …
An adaptive and cooperative MAC protocol for safety applications in cognitive radio enabled vehicular Ad-hoc networks
Rapid broadcast of safety message (sm) is critical for real-time applications in cognitive
radio vehicular ad hoc networks (CR-VANETs). The arrival of primary users (PU) and the …
radio vehicular ad hoc networks (CR-VANETs). The arrival of primary users (PU) and the …
Machine learning-based cooperative spectrum sensing in dynamic segmentation enabled cognitive radio vehicular network
A vehicle ad hoc network (VANET) is a solution for road safety, congestion management,
and infotainment services. Integration of cognitive radio (CR), known as CR-VANET, is …
and infotainment services. Integration of cognitive radio (CR), known as CR-VANET, is …
An adaptive intersection selection mechanism using ant Colony optimization for efficient data dissemination in urban VANET
Vehicular ad-hoc network (VANET) is capable of offering a diverse set of services, and thus
gains lot of attention from both academic and industrial communities. In VANET, the …
gains lot of attention from both academic and industrial communities. In VANET, the …
Privacy preserving machine learning for electric vehicles: A survey
In the recent years, the interest of individual users in modern electric vehicles (EVs) has
grown exponentially. An EV has two major components, which make it different from …
grown exponentially. An EV has two major components, which make it different from …
Fuzzy-based beaconless probabilistic broadcasting for information dissemination in urban VANET
Multi-hop broadcasting in Vehicular Ad Hoc Network (VANET) is the basic building block for
renovating on-road travel experiences because it supports message dissemination among a …
renovating on-road travel experiences because it supports message dissemination among a …
A novel cooperative MAC protocol for safety applications in cognitive radio enabled vehicular ad-hoc networks
Recent developments in intelligent transportation system (ITS) require a reliable medium
access control (MAC) protocol to support the high-priority safety message broadcast. The …
access control (MAC) protocol to support the high-priority safety message broadcast. The …
Deep reinforcement learning based optimal channel selection for cognitive radio vehicular ad‐hoc network
Channel selection is a challenging task in cognitive radio vehicular networks. Vehicles have
to sense the channels periodically. Due to this, a lot of time is wasted which could have been …
to sense the channels periodically. Due to this, a lot of time is wasted which could have been …