21 citations · 54 across the 10 of their papers we have counts for
21 papers
Query Timing Analysis for Content-based Wake-up Realizing Informative IoT Data Collection
Junya Shiraishi, Anders E. Kalør, Federico Chiariotti +3
Information freshness and high energy-efficiency are key requirements for sensor nodes serving Industrial Internet of Things (IIoT) applications, where a sink node must collect inf…
Delivering Ultra-Reliable Low-Latency Communications via Statistical Radio Maps
Tobias Kallehauge, Anders E. Kalør, Pablo Ramírez-Espinosa +2
High reliability guarantees for Ultra-Reliable Low-Latency Communications (URLLC) require accurate knowledge of channel statistics, used as an input for rate selection. Exploiting…
Traffic Prediction and Fast Uplink for Hidden Markov IoT Models
Eslam Eldeeb, Mohammad Shehab, Anders E. Kalor +2
In this work, we present a novel traffic prediction and fast uplink framework for IoT networks controlled by binary Markovian events. First, we apply the forward algorithm with hid…
Scheduling of Sensor Transmissions Based on Value of Information for Summary Statistics
Federico Chiariotti, Anders E. Kalør, Josefine Holm +2
The optimization of Value of Information (VoI) in sensor networks integrates awareness of the measured process in the communication system. However, most existing scheduling algori…
Remote Anomaly Detection in Industry 4.0 Using Resource-Constrained Devices
Anders E. Kalør, Daniel Michelsanti, Federico Chiariotti +2
A central use case for the Internet of Things (IoT) is the adoption of sensors to monitor physical processes, such as the environment and industrial manufacturing processes, where…
Prediction of mmWave/THz Link Blockages through Meta-Learning and Recurrent Neural Networks
Anders E. Kalør, Osvaldo Simeone, Petar Popovski
Wireless applications that use high-reliability low-latency links depend critically on the capability of the system to predict link quality. This dependence is especially acute at…