PPO-based autonomous transmission period control system in IoT edge computing
With the recent explosive growth of the Internet of Things (IoT), edge computing is emerging
as a modern computing paradigm that coexists with the cloud to process massive amounts …
as a modern computing paradigm that coexists with the cloud to process massive amounts …
Pastel: Privacy-preserving federated learning in edge computing
F Elhattab, S Bouchenak, C Boscher - … of the ACM on Interactive, Mobile …, 2024 - dl.acm.org
Federated Learning (FL) aims to improve machine learning privacy by allowing several data
owners in edge and ubiquitous computing systems to collaboratively train a model, while …
owners in edge and ubiquitous computing systems to collaboratively train a model, while …
Near-Optimal UAV Deployment for Delay-Bounded Data Collection in IoT Networks
SW Chang, JJ Kuo, MJ Kao, BZ Chen… - IEEE INFOCOM 2024 …, 2024 - ieeexplore.ieee.org
The rapid growth of Internet of Things (IoT) applications has spurred the need for efficient
data collection mechanisms. Traditional approaches relying on fixed infrastructure have …
data collection mechanisms. Traditional approaches relying on fixed infrastructure have …
New architecture conception for water distribution network in smart home
The challenge of drinking water optimization refers to the need to effectively manage and
distribute drinking water in a manner that is sustainable, efficient, and equitable. To address …
distribute drinking water in a manner that is sustainable, efficient, and equitable. To address …
Deep Reinforcement Learning based Data-driven Map** Mechanism of Digital Twin for Internet of Energy
S Xu, X Guan, Y Peng, Y Liu, C Cui… - … on Network Science …, 2024 - ieeexplore.ieee.org
Digital twin technology can be used in the internet of energy (IoE) systems to perform
physical objects optimization and decision-making by updating relevant models in real-time …
physical objects optimization and decision-making by updating relevant models in real-time …
Parametric Machine Learning-Based Adaptive Sampling Algorithm for Efficient IoT Data Collection in Environmental Monitoring
With the IoT trend, wireless sensors are gaining growing interest. This is due to the
possibility of installing them in locations inaccessible to wired sensors. Although great …
possibility of installing them in locations inaccessible to wired sensors. Although great …
IoTP4Chain: Leveraging Programmable Data Plane for Efficient IoT Forensics using Blockchain
Internet of Things (IoT) forensics faces challenges such as acquiring, identifying, and
analyzing evidence. This process is complex due to the exponential growth in IoT devices …
analyzing evidence. This process is complex due to the exponential growth in IoT devices …
Accuracy-aware data reduction for internet of things
The Internet of Things (IoT) generates an enormous amount of data. Usually, either in real-
time or after their collection, these data are passed to already trained machine learning and …
time or after their collection, these data are passed to already trained machine learning and …
A flexible energy management approach for smart healthcare on the internet of patients (IoP)
H Mehdi, H Zarrabi, A Khadem Zadeh… - The Journal of …, 2022 - Springer
Considering the importance of biosensors on the Internet of the patient body that collect vital
signs and transmit them to the coordinator, energy consumption and network lifetime are …
signs and transmit them to the coordinator, energy consumption and network lifetime are …
Efficient Light-Weight Breath Rate Estimation for Low-Cost IoT Applications
Variations in breath rates can be used as an indicator for important changes in the patient's
physiological status. Although the breath rate is an important vital sign, it is often overlooked …
physiological status. Although the breath rate is an important vital sign, it is often overlooked …