UAV-assisted dependency-aware computation offloading in device–edge–cloud collaborative computing based on improved actor–critic DRL
Unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) has become a
popular research topic, addressing challenges posed by the pressure of cloud computing …
popular research topic, addressing challenges posed by the pressure of cloud computing …
UAV mission scheduling with completion time, flight distance, and resource consumption constraints
K Li - Connection Science, 2023 - Taylor & Francis
Unmanned aerial vehicles (UAVs) are widely used in various military and civilian
applications. UAV mission scheduling is a key issue in UAV applications and a central topic …
applications. UAV mission scheduling is a key issue in UAV applications and a central topic …
Resource Allocation and Placement in Multi-access Edge Computing
The proliferation of smart terminals has propelled the rapid growth of Internet of Everything
applications, placing substantial demands on the development of information infrastructures …
applications, placing substantial demands on the development of information infrastructures …
DSUTO: Differential Rate SAC-Based UAV-Assisted Task Offloading Algorithm in Collaborative Edge Computing
L Zhang, R Tan, M Ai, H Xiang… - 2023 IEEE 29th …, 2023 - ieeexplore.ieee.org
Mobile edge computing effectively enhances service quality and decreases system cost by
processing resource-intensive tasks at the network edge. Today, unmanned aerial vehicles …
processing resource-intensive tasks at the network edge. Today, unmanned aerial vehicles …
Conception of Foreign Heterogeneous Electronic Warfare UAV Cross Domain Cooperative Operations
M Ren, B Wang, J Liu - International Conference on Autonomous …, 2023 - Springer
Heterogeneous unmanned aerial vehicles (UAVs), as an important means of implementing
Decision Centeric Warfare, will become an important factor influencing the trend of future …
Decision Centeric Warfare, will become an important factor influencing the trend of future …