Search
Now showing items 21-30 of 40
Zero Touch Realization of Pervasive Artificial Intelligence as a Service in 6G Networks
(
IEEE
, 2023 , Article)
The vision of the upcoming 6G technologies, characterized by ultra-dense networks, low latency, and fast data rate, is to support pervasive artificial intelligence (PAI) using zero touch solutions enabling self-X (e.g., ...
Video transcoding at the edge: cost and feasibility perspective
(
Springer Nature
, 2023 , Article)
The developments in smartphones, high data rates, and substantial video data traffic have increased the burden on cellular networks. Consequently, this burden significantly affects the Quality of Experience of the cellular ...
RL-Based Federated Learning Framework Over Blockchain (RL-FL-BC)
(
IEEE
, 2023 , Article)
Federated learning (FL) paradigms aim to amalgamate diverse data properties stored locally at each user, while preserving data privacy through sharing users’ learning experiences and iteratively aggregating their ...
FEDGAN-IDS: Privacy-preserving IDS using GAN and Federated Learning
(
Elsevier
, 2022 , Article)
Federated Learning (FL) is a promising distributed training model that aims to minimize the data sharing to enhance privacy and performance. FL requires sufficient and diverse training data to build efficient models. Lack ...
RLENS: RL-based Energy-Efficient Network Selection Framework for IoMT
(
IEEE
, 2022 , Conference Paper)
With the emergence of smart health (s-health) applications and services, several requirements for quality have arisen to foresee and react instantaneously to emergency circumstances. Such requirements demand fast-acting ...
MMRL: A Multi-Modal Reinforcement Learning Technique for Energy-efficient Medical IoT Systems
(
IEEE
, 2021 , Conference Paper)
The Internet of Medical Things (IoMT) couples the rapid growth of Internet of things (IoT) technologies with smart health systems, leveraging wireless battery-operated devices for remote health monitoring. Since 2019, a ...
Jammer Localization in the Internet of Vehicles: Scenarios, Experiments, and Evaluation
(
ACM Digital Library
, 2022 , Conference Paper)
The Internet of Vehicles (IoV) paradigm aims to improve road safety and provide a comfortable driving experience for Internet-connected vehicles, by transmitting early warning and infotainment signals to Internet-connected ...
Jamming Detection in IoT Wireless Networks: An Edge-AI Based Approach
(
ACM Digital Library
, 2022 , Conference Paper)
Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. In the era of 5G and beyond, more technologies will be allowed to connect to mobile networks, enabling the Internet ...
Incentive-based Resource Allocation for Mobile Edge Learning
(
IEEE
, 2022 , Conference Paper)
Mobile Edge Learning (MEL) is a learning paradigm that facilitates training of Machine Learning (ML) models over resource-constrained edge devices. MEL consists of an orchestrator, which represents the model owner of the ...
AirEye: UAV-Based Intelligent DRL Mobile Target Visitation
(2022 , Conference Paper)
From traffic monitoring to livestock tracking, and military reconnaissance to marine discovery, unmanned aerial vehicles (UAVs) are indispensable. Its dependence on a battery for power supply limits the flight time to visit ...