7 papers
A Deep Reinforcement Learning Approach for Improving Age of Information in Mission-Critical IoT
Hossam Farag, Mikael Gidlund, Cedomir Stefanovic
The emerging mission-critical Internet of Things (IoT) play a vital role in remote healthcare, haptic interaction, and industrial automation, where timely delivery of status update…
A TETRA-based System for Remote-Health Monitoring of First Responders: Peak AoI Assessment in Direct and Trunked Mode
Hossam Farag, Aleksandar Vujic, Milos Kostic +2
In this paper, we study peak age of information (PAoI) performance of a novel IoT solution for remote health-monitoring of first responders over TErrestrial Trunked RAdio (TETRA) l…
On the Analysis of AoI-Reliability Tradeoff in Heterogeneous IIoT Networks
Hossam Farag, Syed Muhammad Ali, Cedomir Stefanovic
Age of information (AoI) and reliability are two critical metrics to support real-time applications in Industrial Internet of Things (IIoT). These metrics reflect different concept…
Timely and Efficient Information Delivery in Real-Time Industrial IoT Networks
Hossam Farag, Dejan Vukobratovic, Andrea Munari +1
Enabling real-time communication in Industrial Internet of Things (IIoT) networks is crucial to support autonomous, self-organized and re-configurable industrial automation for Ind…
AA-DL: AoI-Aware Deep Learning Approach for D2D-Assisted Industrial IoT
Hossam Farag, Mohamed Ragab, Cedomir Stefanovic
In real-time Industrial Internet of Things (IIoT), e.g., monitoring and control scenarios, the freshness of data is crucial to maintain the system functionality and stability. In t…
Remote Health-Monitoring of First Responders over TETRA Links
Hossam Farag, Aleksandar Vujic, Milos Kostic +2
In this paper, we present a system for remote health-monitoring of first responders over TETRA radio links. The system features a smart garment that periodically records and sends…