Towards Real-time Learning for Edge-Cloud Continuum with Vehicular Computing
Sensor-driven IoT systems are well-known for their capacity to accelerate massive amounts of data in a comparatively short period of time. To […]
Monitoring Social Distancing in Smart Spaces using Infrastructure-Based Sensors
Social distancing is a critical tool for mitigating disease transmission, particularly in crowded indoor spaces. In this paper, we contribute by assessing […]
LPWAN Coverage Assessment Planning without Explicit Knowledge of Base Station Locations
An assessment of radio network coverage, usually in the form of a measurement campaign, is essential for multi-base-station (multi-BS) network deployment and […]
A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory
The current random access (RA) allocation techniques suffer from congestion and high signaling overhead while serving massive machine type communication (mMTC) applications. […]
Security Enhanced Emergency Situation Detection System for Ambient Assisted Living
Typical wearable devices use a dedicated mobile phone as relay node to transfer the collected sensor data to a server. However, such […]
Event-Driven Source Traffic Prediction in Machine-Type Communications Using LSTM Networks
Source traffic prediction is one of the main challenges of enabling predictive resource allocation in machine-type communications (MTC). In this paper, a […]
LoRaWANSim
Among the low power wide area network communication protocols for large scale Internet of Things, LoRaWAN is considered one of the most […]
Arithmetic Tracking Adaptive SAR ADC for Signals with Low-activity Periods
This paper introduces a novel arithmetic tracking algorithm for successive approximation ADCs, and presents its analysis. The algorithm utilizes low activity signal […]
Highly efficient key agreement for remote patient monitoring in MEC-enabled 5G networks
Remote patient monitoring is one of the cornerstones to enable Ambient Assisted Living. Here, a set of devices provide their corresponding input, […]
DatEthics
The Internet of Things makes human activity data — what people do, how they move, how they socialise — an abundant resource. […]