43 citations · 171 across the 38 of their papers we have counts for
6 papers · 1 filter
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…
Predictive Rate Selection for Ultra-Reliable Communication using Statistical Radio Maps
Tobias Kallehauge, Pablo Ramìrez-Espinosa, Anders E. Kalør +2
This paper proposes exploiting the spatial correlation of wireless channel statistics beyond the conventional received signal strength maps by constructing statistical radio maps t…
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…
Common Message Acknowledgments: Massive ARQ Protocols for Wireless Access
Anders E. Kalør, Radosław Kotaba, Petar Popovski
Massive random access plays a central role in supporting the Internet of Things (IoT), where a subset of a large population of users simultaneously transmit small packets to a cent…