Deep reinforcement learning (DRL) has emerged as a promising technique for optimizing
the deployment of unmanned aerial vehicles (UAVs) for data collection in wireless sensor …

Age of Information (AoI) is a metric often used to represent the freshness of the information
exchanged between a sensing source and a receiver. We consider a system where these …

Within a recent line of research, age of information is supported as an alternate network
performance metric with respect to throughput or delay, to evaluate the performance of …

Sensor data exchanges in IoT applications can experience a variable delay due to changes
in the communication environment and sharing of processing capabilities. This variability …

Applications requiring services from modern wireless networks, such as those involving
remote control and supervision, call for maintaining the timeliness of information flows …

We analyze a remote sensing system in the Internet of things, where uncoordinated nodes
send status updates to a common receiver to achieve information freshness, quantified …

We investigate the Age of Information (AoI) of status updates, resulting from the convergence
of multiple and federated data sources subject to both independent and voluntary …

This paper explores the optimization of status updates in sensing systems, focusing on
misclassification in machine learning (ML) models. Previous research has primarily tackled …

We consider periodical status updates between a transmitter and a legitimate receiver, in the
presence of an eavesdropper that is sometimes able to capture pieces of information. We …

Status update freshness in slotted ALOHA networks is an important issue for Internet of
things scenarios with large number of nodes and uncoordinated access. We compare the …