Edge computing in 5G: A review

N Hassan, KLA Yau, C Wu - IEEE Access, 2019 - ieeexplore.ieee.org
5G is the next generation cellular network that aspires to achieve substantial improvement
on quality of service, such as higher throughput and lower latency. Edge computing is an …

Journey from cloud of things to fog of things: Survey, new trends, and research directions

A Chakraborty, M Kumar… - Software: Practice and …, 2023 - Wiley Online Library
With the advent of the Internet of Things (IoT) paradigm, the cloud model is unable to offer
satisfactory services for latency‐sensitive and real‐time applications due to high latency and …

Edge computing: A survey

WZ Khan, E Ahmed, S Hakak, I Yaqoob… - Future Generation …, 2019 - Elsevier
In recent years, the Edge computing paradigm has gained considerable popularity in
academic and industrial circles. It serves as a key enabler for many future technologies like …

BeCome: Blockchain-enabled computation offloading for IoT in mobile edge computing

X Xu, X Zhang, H Gao, Y Xue, L Qi… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Benefiting from the real-time processing ability of edge computing, computing tasks
requested by smart devices in the Internet of Things are offloaded to edge computing …

Green Internet of Vehicles (IoV) in the 6G era: Toward sustainable vehicular communications and networking

J Wang, K Zhu, E Hossain - IEEE Transactions on Green …, 2021 - ieeexplore.ieee.org
As one of the most promising applications in future Internet of Things, Internet of Vehicles
(IoV) has been acknowledged as a fundamental technology for developing the Intelligent …

Multi-agent deep reinforcement learning based UAV trajectory optimization for differentiated services

Z Ning, Y Yang, X Wang, Q Song, L Guo… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Driven by the increasing computational demand of real-time mobile applications, Unmanned
Aerial Vehicle (UAV) assisted Multi-access Edge Computing (MEC) has been envisioned as …

Dynamic task offloading for internet of things in mobile edge computing via deep reinforcement learning

Y Chen, W Gu, K Li - International Journal of Communication …, 2022 - Wiley Online Library
With the development of Internet of Things (IoT), more and more computation‐intensive
tasks are generated by IoT devices. Due to the limitation of battery and computing capacity …

A new algorithm of clustering AODV based on edge computing strategy in IOV

D Zhang, C Gong, T Zhang, J Zhang, M Piao - Wireless Networks, 2021 - Springer
In the vehicular ad hoc network (VANET), due to the particularity of high-speed movement of
vehicle nodes, there are higher challenges in link stability and network topology control …

A novel code data dissemination scheme for Internet of Things through mobile vehicle of smart cities

H Teng, Y Liu, A Liu, NN Xiong, Z Cai, T Wang… - Future Generation …, 2019 - Elsevier
More and more sensor-based devices are deployed for various applications to collect a
huge amount of data for understanding the world, which constitute ubiquitous sensing …

Artificial intelligence-empowered edge of vehicles: architecture, enabling technologies, and applications

H Ji, O Alfarraj, A Tolba - IEEE Access, 2020 - ieeexplore.ieee.org
With the proliferation of mobile devices and a wealth of rich application services, the Internet
of vehicles (IoV) has struggled to handle computationally intensive and delay-sensitive …