The Internet of Vehicles (IoV) has evolved from the classic Vehicular Ad-hoc NETworks
(VANETs) as a result of the emergence of the Internet of Things (IoT). IoV is used for …

Internet of Vehicles (IoV), a branch of Internet of Things utilized for vehicle-to-vehicle
communication, is attracting attention from both academia and industry. Vehicle nodes are …

In this paper, we propose a novel deep reinforcement learning-based quality-of-service
(QoS) routing protocol, namely DRQR, exploiting cross-layer design to establish efficient …

Many algorithms use clustering to improve vehicular ad hoc network performance. The
expected points of many of these approaches support multiple rounds of data to the …

Effective management and control of large-scale networks can be challenging in the
absence of appropriate resource allocation. This paper presents a framework for …

Vehicular ad hoc networks (VANETs) establish the connection between the vehicles through
wireless communication. This link stability is significant for achieving traffic safety and traffic …

A mobile ad hoc network (MANET) poses significant challenges such as route failure and
end-to-end delay due to the decentralized nature of mobile ad hoc wireless networks …

The frequent movement of nodes in cognitive radio mobile ad hoc networks (CRAHNs)
causes challenges in scalability, stability, channel sensing and channel access problems …

Clustering algorithms optimization can minimize topology maintenance overhead in large
scale vehicular Ad hoc networks (VANETs) for smart transportation that results from dynamic …

In this paper, we propose a novel deep reinforcement learning-based quality-of-service
routing (DQR) protocol to establish the best route with minimum end-to-end queuing delay …