A 5G NR based System Architecture for Real-Time Control with Batteryless RFID Sensors

The fifth-generation wireless networking (5G) technologies have been developed to meet various time-critical use cases with ultra-reliable, low-latency and massive machine-type communications which are indispensable for tactile Internet applications. Recent advancements in very low-cost and batteryless radio-frequency identification (RFID) sensors have given promises of deploying a massive amount of such sensors for real-time sensing and control applications on a 5G New Radio (NR) network. However, the system design and performance of such applications have not been well studied. This paper proposes a novel system architecture for the representative batteryless RFID touch sensors in generic real-time control applications in a 5G NR mmWave environment. We will discuss the solution using edge computing nodes on the 5G NR base station to the implementation of the proposed system architecture. The real-time performance evaluation with the comparison of the Long-Term Evolution (LTE) networks has shown the effectiveness of the proposed system architecture

IoT-based Contact Tracing Systems for Infectious Diseases: Architecture and Analysis

The recent COVID-19 pandemic has become a major threat to human health and well-being. Non-pharmaceutical interventions such as contact tracing solutions are important to contain the spreads of COVID-19-like infectious diseases. However, current contact tracing solutions are fragmented with limited use of sensing technologies and centered on monitoring the interactions between individuals without an analytical framework for evaluating effectiveness. Therefore, we need to first explore generic architecture for contact tracing in the context of today's Internet of Things (IoT) technologies based on a broad range of applicable sensors. A new architecture for IoT based solutions to contact tracing is proposed and its overall effectiveness for disease containment is analyzed based on the traditional epidemiological models with the simulation results. The proposed work aims to provide a framework for assisting future designs and evaluation of IoT-based contact tracing solutions and to enable data-driven collective efforts on combating current and future infectious diseases