DRL-Based Backbone SDN Control Methods in UAV-Assisted Networks for Computational Resource Efficiency
The limited coverage extension of mobile edge computing (MEC) necessitates exploring
cooperation with unmanned aerial vehicles (UAV) to leverage advanced features for future …
cooperation with unmanned aerial vehicles (UAV) to leverage advanced features for future …
Unmanned Aerial Vehicle Assisted Post-Disaster Communication Coverage Optimization Based on Internet of Things Big Data Analysis
B Yang, X Xiong, H Liu, Y Jia, Y Gao, A Tolba, X Zhang - Sensors, 2023 - mdpi.com
The rapid development of Internet of Things (IoT) communication devices has brought about
significant convenience. However, simultaneously, the destruction of communication …
significant convenience. However, simultaneously, the destruction of communication …
Computation Offloading Based on a Distributed Overlay Network Cache-Sharing Mechanism in Multi-Access Edge Computing
Y Liu, P Zhong, Z Yang, W Li, S Li - Future Internet, 2024 - mdpi.com
Multi-access edge computing (MEC) enhances service quality for users and reduces
computational overhead by migrating workloads and application data to the network edge …
computational overhead by migrating workloads and application data to the network edge …
Performance Analysis of Task Offloading in Mobile Edge Cloud Computing for Brain Tumor Classification Using Deep Learning
R Yamuna, R Rajalingam, MU Rani - Journal of Applied Engineering …, 2023 - yrpipku.com
The increasing prevalence of brain tumors necessitates accurate and efficient methods for
their identification and classification. While deep learning (DL) models have shown promise …
their identification and classification. While deep learning (DL) models have shown promise …
Unveiling the Performance Dynamics and Stability of Artificial Neural Network Models in Reinforcement Learning: A Comprehensive Examination of ANN Size …
This study assesses the performance and stability of artificial neural network (ANN) models
in reinforcement learning (RL) simulations. Various simulations are conducted using …
in reinforcement learning (RL) simulations. Various simulations are conducted using …
Comprehensive Review of Benefits from the Use of Neuron Connection Pruning Techniques During the Training Process of Artificial Neural Networks in …
This paper presents a comprehensive examination of the advantages associated with the
application of neuron connection pruning techniques in the training of Artificial Neural …
application of neuron connection pruning techniques in the training of Artificial Neural …
Task Offloading in Mixed IoT of AUVs and ASVs
TP Van - 2024 18th International Conference on Ubiquitous …, 2024 - ieeexplore.ieee.org
We address a mixed IoT system that is composed of autonomous underwater and surface
vehicles (AUV and ASV). They employ sonar and RF signals to communicate and cooperate …
vehicles (AUV and ASV). They employ sonar and RF signals to communicate and cooperate …
A joint task caching and computation offloading scheme based on Deep Reinforcement Learning
H Tian, L Zhu, L Tan - 2024 - researchsquare.com
Considering the dynamic variability of the vehicular edge environment and the limited edge
servers resources, this paper proposes a joint task caching and computation offloading …
servers resources, this paper proposes a joint task caching and computation offloading …