The demand for vehicular networks is prolifically emerging as it supports advancing in capabilities and qualities of vehicle services. However, this vehicular network cannot solely …
The rapid increase in vehicle population has led to an increase in road congestion, pollution and accidents. We propose a framework that optimizes collection, classification, scheduling …
With the advent of fog computing, its use to provide real-time services at the network's edge has increased. However, running computationally-demanding applications in smart vehicles …
Recent advances in information technology have revolutionized the automotive industry, paving the way for next-generation smart vehicular mobility. Specifically, vehicles, roadside …
J Wu, J Wang, Q Chen, Z Yuan, P Zhou… - … on Network Science …, 2021 - ieeexplore.ieee.org
The rapid development of internet of vehicles (IoV) has recently led to the emergence of diverse intelligent vehicular applications such as automatic driving, auto navigation, and …
S Chavhan, D Gupta, C Nagaraju… - IEEE Systems …, 2021 - ieeexplore.ieee.org
The continuous urbanization with extensive dynamic situations on evolving cities, urban, and suburban areas, it is not feasible to categorize the navigation as fastest route, toll-free …
AJ Kadhim, JI Naser - China Communications, 2021 - ieeexplore.ieee.org
Internet of Vehicles (IoV) is a new style of vehicular ad hoc network that is used to connect the sensors of each vehicle with each other and with other vehicles' sensors through the …
With the emergence of delay-and energy-critical vehicular applications, forwarding sense- actuate data from vehicles to the cloud became practically infeasible. Therefore, a new …
Z Deng, Z Cai, M Liang - IEEE Access, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a suitable solution to improve computational capabilities in vehicular environments, and the computation offloading plays a critical role in MEC. After the …