AI for UAV-assisted IoT applications: A comprehensive review
With the rapid development of the Internet of Things (IoT), there are a dramatically
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
increasing number of devices, leading to the fact that only using terrestrial infrastructure can …
[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …
Uav-assisted task offloading for iot in smart buildings and environment via deep reinforcement learning
J Xu, D Li, W Gu, Y Chen - Building and Environment, 2022 - Elsevier
With the rapid development of Internet of Things (IoT) techniques, IoT devices with sensors
have been widely deployed and used in smart buildings and environment, and the …
have been widely deployed and used in smart buildings and environment, and the …
A comprehensive overview of modeling approaches and optimal control strategies for cyber-physical resilience in power systems
Cyber–physical systems (CPSs) are confronted with major problems, such as high
proportions of renewable energy penetration and frequent extreme events, which severely …
proportions of renewable energy penetration and frequent extreme events, which severely …
Practical optimization and game theory for 6G ultra-dense networks: Overview and research challenges
Ultra-dense networks (UDNs) have been employed to solve the pressing problems in
relation to the increasing demand for higher coverage and capacity of the fifth generation …
relation to the increasing demand for higher coverage and capacity of the fifth generation …
Double deep q-network method for energy efficiency and throughput in a uav-assisted terrestrial network
Increasing the coverage and capacity of cellular networks by deploying additional base
stations is one of the fundamental objectives of fifth-generation (5G) networks. However, it …
stations is one of the fundamental objectives of fifth-generation (5G) networks. However, it …
Deep reinforcement learning for internet of drones networks: issues and research directions
N Aboueleneen, A Alwarafy… - IEEE Open Journal of the …, 2023 - ieeexplore.ieee.org
Internet of Drones (IoD) is one of the promising technologies to enhance the performance of
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …
wireless networks. Deploying IoD to assist wireless networks, however, needs to address …
[PDF][PDF] Fortifying IoT against crimpling cyber-attacks: a systematic review
The rapid growth and increasing demand for Internet of Things (IoT) devices in our everyday
lives create exciting opportunities for human involvement, data integration, and seamless …
lives create exciting opportunities for human involvement, data integration, and seamless …
Optimizing resource allocation in ultra-dense networks with uav assistance: A levy flight-based approach
Due to the rapid expansion of high-speed wireless communications, the number of
customers has significantly increased. Ultra-dense networks (UDN) now support a greater …
customers has significantly increased. Ultra-dense networks (UDN) now support a greater …
Achieving Fast Environment Adaptation of DRL-Based Computation Offloading in Mobile Edge Computing
One of the key issues in mobile edge computing (MEC) is computation offloading, most
policies of which are developed based on mathematical programming (MP). Due to the high …
policies of which are developed based on mathematical programming (MP). Due to the high …