Resource scheduling in edge computing: A survey
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …
networks, the surging demand for data communications and computing calls for the …
[HTML][HTML] Survey on computation offloading in UAV-Enabled mobile edge computing
With the increasing growth of internet-of-things (IoT) devices, effective computation
performance has become a critical issue. Many services provided by IoT devices (eg …
performance has become a critical issue. Many services provided by IoT devices (eg …
Multi-agent deep reinforcement learning for task offloading in UAV-assisted mobile edge computing
Mobile edge computing can effectively reduce service latency and improve service quality
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
by offloading computation-intensive tasks to the edges of wireless networks. Due to the …
Secure NOMA-based UAV-MEC network towards a flying eavesdropper
Non-orthogonal multiple access (NOMA) allows multiple users to share link resource for
higher spectrum efficiency. It can be applied to unmanned aerial vehicle (UAV) and mobile …
higher spectrum efficiency. It can be applied to unmanned aerial vehicle (UAV) and mobile …
Group teaching optimization algorithm: A novel metaheuristic method for solving global optimization problems
Y Zhang, Z Jin - Expert Systems with Applications, 2020 - Elsevier
In last 30 years, many metaheuristic algorithms have been developed to solve optimization
problems. However, most existing metaheuristic algorithms have extra control parameters …
problems. However, most existing metaheuristic algorithms have extra control parameters …
Resource and trajectory optimization for secure communications in dual unmanned aerial vehicle mobile edge computing systems
With the maneuverability and mobility control of unmanned aerial vehicle (UAV), carrying
mobile edge computing (MEC) servers on UAVs is able to effectively alleviate the explosive …
mobile edge computing (MEC) servers on UAVs is able to effectively alleviate the explosive …
UAV-enabled mobile edge-computing for IoT based on AI: A comprehensive review
Unmanned aerial vehicles (UAVs) are becoming integrated into a wide range of modern IoT
applications. The growing number of networked IoT devices generates a large amount of …
applications. The growing number of networked IoT devices generates a large amount of …
Secure transmission for multi-UAV-assisted mobile edge computing based on reinforcement learning
W Lu, Y Mo, Y Feng, Y Gao, N Zhao… - … on Network Science …, 2022 - ieeexplore.ieee.org
UAV communication has received widespread attention in MEC systems due to its high
flexibility and line-of-sight transmission. Users can reduce their local computing pressures …
flexibility and line-of-sight transmission. Users can reduce their local computing pressures …
A game-based deep reinforcement learning approach for energy-efficient computation in MEC systems
Many previous energy-efficient computation optimization works for mobile edge computing
(MEC) systems have been based on the assumption of synchronous offloading, where all …
(MEC) systems have been based on the assumption of synchronous offloading, where all …
An accurate UAV 3-D path planning method for disaster emergency response based on an improved multiobjective swarm intelligence algorithm
Planning a practical three-dimensional (3-D) flight path for unmanned aerial vehicles (UAVs)
is a key challenge for the follow-up management and decision making in disaster …
is a key challenge for the follow-up management and decision making in disaster …