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Now showing items 11-20 of 23
Security Performance Analysis of a Health System using Hybrid NOMA-OMA based IoT System
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Internet of Things (IoT) systems have been playing a significant role in improving the quality of various applications and services. With the expansion increase of loT devices and users, different Multiple Access (MA) ...
PLS Performance Analysis of a Hybrid NOMA-OMA based IoT System with Mobile Sensors
(
Institute of Electrical and Electronics Engineers Inc.
, 2022 , Conference Paper)
With the advent of Internet of Things (IoT) systems, privacy and integrity of messages are becoming critical issues and are threatened, especially with mobile sensors. The broadcast nature of wireless communications increase ...
Energy-Harvesting Based Jammer Localization: A Battery-Free Approach in Wireless Sensor Networks
(
IEEE
, 2022 , Conference Paper)
Wireless enabling technologies in critical infrastructures are increasing the efficiency of communications. Most of these technologies are vulnerable to jamming attacks. Jamming attacks are among the most effective ...
Energy Efficient Cross-Layer Design for Wireless Body Area Monitoring Networks in Healthcare Applications
(
IEEE
, 2013 , Conference Paper)
Growing number of patients with chronic diseases requiring constant monitoring has created a major impetus to developing scalable Body Area Sensor Networks (BASNs) for remote health applications. In this paper, to anatomize, ...
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 ...
On the Modeling of Reliability in Extreme Edge Computing Systems
(
IEEE
, 2022 , Conference Paper)
Extreme edge computing (EEC) refers to the end-most part of edge computing wherein computational tasks and edge services are deployed only on extreme edge devices (EEDs). EEDs are consumer or user-owned devices that offer ...
Patient-Driven Network Selection in multi-RAT Health Systems Using Deep Reinforcement Learning
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
The recent pandemic along with the rapid increase in the number of patients that require continuous remote monitoring imposes several challenges to support the high quality of services (QoS) in remote health applications. ...
RL-Assisted Energy-Aware User-Edge Association for IoT-based Hierarchical Federated Learning
(2022 , Conference Paper)
The extremely heavy global reliance on IoT devices is causing enormous amounts of data to be gathered and shared in IoT networks. Such data need to efficiently be used in training and deploying of powerful artificially ...
A Robust Protocol for Smart eHealthcare based on Elliptic Curve Cryptography and Fuzzy logic in IoT
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
Emerging technologies change the qualities of modern healthcare by employing smart systems for patient monitoring. To well use the data surrounding the patient, tiny sensing devices and smart gateways are involved. These ...
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 ...