A decade review on smart cities: paradigms, challenges and opportunities

T Singh, A Solanki, SK Sharma, A Nayyar… - IEEE Access, 2022 - ieeexplore.ieee.org
Smart City has been an emerging research domain for Government, Businesses, and
researchers in the last few years. The Indian government is also interested and investing lots …

A survey on mobility of edge computing networks in IoT: State-of-the-art, architectures, and challenges

FS Abkenar, P Ramezani, S Iranmanesh… - … Surveys & Tutorials, 2022 - ieeexplore.ieee.org
Edge computing leverages computing resources closer to the end-users at the edge of the
network, rather than distant cloud servers in the centralized IoT architecture. Edge …

Blockchain-based on-demand computing resource trading in IoV-assisted smart city

X Lin, J Wu, S Mumtaz, S Garg, J Li… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In a smart city, Mobile Edge Computing (MEC) are generally deployed in static fashion in
base stations (BSs). While moving vehicles with advanced on-board equipment can be …

A comprehensive survey on data dissemination in Vehicular Ad Hoc Networks

H Shahwani, SA Shah, M Ashraf, M Akram… - Vehicular …, 2022 - Elsevier
Abstract Vehicular Ad Hoc Networks (VANET) are self-organized wireless network for
Intelligent Transportation Systems (ITS) that allow vehicles to collaborate with each other, to …

[HTML][HTML] A survey on vehicular task offloading: Classification, issues, and challenges

M Ahmed, S Raza, MA Mirza, A Aziz, MA Khan… - Journal of King Saud …, 2022 - Elsevier
Emerging vehicular applications with strict latency and reliability requirements pose high
computing requirements, and current vehicles' computational resources are not adequate to …

Fuzzy reinforcement learning for energy efficient task offloading in vehicular fog computing

S Vemireddy, RR Rout - Computer Networks, 2021 - Elsevier
Abstract Vehicular Fog Computing (VFC) has been envisioned as a potential fog computing
paradigm which aims to offload delay sensitive tasks to mobile fog vehicles instead of …

An efficient task offloading scheme in vehicular edge computing

S Raza, W Liu, M Ahmed, MR Anwar, MA Mirza… - Journal of Cloud …, 2020 - Springer
Vehicular edge computing (VEC) is a promising paradigm to offload resource-intensive
tasks at the network edge. Owing to time-sensitive and computation-intensive vehicular …

Joint resource allocation and computation offloading with time-varying fading channel in vehicular edge computing

S Li, S Lin, L Cai, W Li, G Zhu - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is considered as a novel paradigm to enhance the safety
of automated vehicles and intelligent transportation systems (ITS). The computation …

Application offloading strategy for hierarchical fog environment through swarm optimization

M Adhikari, SN Srirama… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Nowadays, billions of Internet-of-Things devices generate various types of delay-sensitive
tasks to process within a limited time frame. By processing the tasks at the network edge …

Resource allocation for edge computing-based vehicle platoon on freeway: A contract-optimization approach

C Yang, W Lou, Y Liu, S Xie - IEEE Transactions on Vehicular …, 2020 - ieeexplore.ieee.org
Vehicular edge computing is viewed as a promising technique for relieving the overload of
base station (BS) on roadside, via leveraging the computation resources of vehicles on road …