Vehicular edge computing: Architecture, resource management, security, and challenges
Vehicular Edge Computing (VEC), based on the Edge Computing motivation and
fundamentals, is a promising technology supporting Intelligent Transport Systems services …
fundamentals, is a promising technology supporting Intelligent Transport Systems services …
SDN/NFV architectures for edge-cloud oriented IoT: A systematic review
Software-defined network (SDN) and network function virtualization (NFV) have entirely
changed the way internetwork backhaul should be utilized and behaved for virtualized …
changed the way internetwork backhaul should be utilized and behaved for virtualized …
Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT),
there are dependencies between different tasks, which need to be collected and jointly …
there are dependencies between different tasks, which need to be collected and jointly …
Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges
S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …
A hybrid deep reinforcement learning for autonomous vehicles smart-platooning
The development of Autonomous Vehicles (AVs) envisions the promising technology of
future Intelligent Transportation Systems (ITS). However, the complex road structures and …
future Intelligent Transportation Systems (ITS). However, the complex road structures and …
Blockchain-based batch authentication protocol for Internet of Vehicles
The vehicles in Internet of Vehicles (IoV) can be used to opportunistically gather and
distribute the data in a smart city environment. However, at the same time, various security …
distribute the data in a smart city environment. However, at the same time, various security …
Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G
Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …
services is being widely studied and a hot topic for the latest research works in the literature …
A consortium blockchain-based energy trading for demand response management in vehicle-to-grid
S Aggarwal, N Kumar - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
In this paper, we propose a Peer-to-Peer (P2P) energy trading scheme between EVs and
the SPs to manage the demand response in V2G environment. Unlike the traditional …
the SPs to manage the demand response in V2G environment. Unlike the traditional …
Cognitive routing protocol for disaster-inspired internet of things
F Al-Turjman - Future Generation Computer Systems, 2019 - Elsevier
In this paper, we propose a framework for data delivery in large-scale networks for disaster
management, where numerous wireless sensors are distributed over city traffic …
management, where numerous wireless sensors are distributed over city traffic …
A vision towards integrated 6G communication networks: Promising technologies, architecture, and use-cases
The evolution of the previous mobile communication generations has led to innovative goals
of the Internet of Everything (IoE) in the 5G. However, addressing all IoE-associated …
of the Internet of Everything (IoE) in the 5G. However, addressing all IoE-associated …