Amalgamation of advanced technologies for sustainable development of smart city environment: A review

S Rani, RK Mishra, M Usman, A Kataria, P Kumar… - IEEE …, 2021 - ieeexplore.ieee.org
The concept of smart city evolved with the integration of information and communication
technology (ICT) in various sub-systems and processes in urban environment. The …

When machine learning meets privacy in 6G: A survey

Y Sun, J Liu, J Wang, Y Cao… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The rapid-developing Artificial Intelligence (AI) technology, fast-growing network traffic, and
emerging intelligent applications (eg, autonomous driving, virtual reality, etc.) urgently …

Smart resource allocation for mobile edge computing: A deep reinforcement learning approach

J Wang, L Zhao, J Liu, N Kato - IEEE Transactions on emerging …, 2019 - ieeexplore.ieee.org
The development of mobile devices with improving communication and perceptual
capabilities has brought about a proliferation of numerous complex and computation …

Deep deterministic policy gradient (DDPG)-based energy harvesting wireless communications

C Qiu, Y Hu, Y Chen, B Zeng - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
To overcome the difficulties of charging the wireless sensors in the wild with conventional
energy supply, more and more researchers have focused on the sensor networks with …

Mobile-edge computation offloading for ultradense IoT networks

H Guo, J Liu, J Zhang, W Sun… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
The emergence of massive Internet of Things (IoT) mobile devices (MDs) and the
deployment of ultradense 5G cells have promoted the evolution of IoT toward ultradense IoT …

Attacks on self-driving cars and their countermeasures: A survey

A Chowdhury, G Karmakar, J Kamruzzaman… - IEEE …, 2020 - ieeexplore.ieee.org
Intelligent Traffic Systems (ITS) are currently evolving in the form of a cooperative ITS or
connected vehicles. Both forms use the data communications between Vehicle-to-Vehicle …

Multi-user offloading for edge computing networks: A dependency-aware and latency-optimal approach

C Shu, Z Zhao, Y Han, G Min… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Driven by the tremendous application demands, the Internet of Things (IoT) systems are
expected to fulfill computation-intensive and latency-sensitive sensing and computational …

Multitask offloading strategy optimization based on directed acyclic graphs for edge computing

J Chen, Y Yang, C Wang, H Zhang… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
With the advancement of the user application service demands, the IoT system tends to
offload the tasks to the edge server for execution. Most of the current studies on edge …

[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 …

Optimal edge resource allocation in IoT-based smart cities

L Zhao, J Wang, J Liu, N Kato - IEEE Network, 2019 - ieeexplore.ieee.org
With IoT-based smart cities, massive heterogeneous IoT devices are running diverse
advanced services for unprecedented intelligence and efficiency in various domains of city …