We consider an M/M/1 update-and-decide system where Poisson distributed decisions are
made based on the received updates. We propose to characterize the freshness of the …

Consider an energy harvesting node where generation of a status update message takes
non-negligible time due to sensing, computing and analytics operations performed before …

In this work, we consider a system with multiple sensors, each measuring a different time-
varying signal. The sensors report their measurements to a central monitoring station via …

We consider a multi-source network with a common monitor, where fresh updates are
generated at each source, following a Poisson process. At any time, at most one source can …

We consider a multi-source relaying system where the sources independently and randomly
generate status update packets which are sent to the destination with the aid of a buffer …

With the rapid growth of real-time Internet of Things (IoT) applications, the need for fresh
information has surged. Age of Information (AoI) is a tailor-made metric to characterize the …

The existing multiple-input single-output (MISO) design to transmit data reliably to multiple
mobile users (MUs) has become insufficient as MUs require fresh data, not just data …

This work is motivated by the need of collecting fresh data from power-constrained sensors
in the industrial Internet of Things (IIoT) network. A recently proposed metric, the Age of …

Having timely and fresh knowledge about the current state of information sources is critical
in a variety of applications. In particular, a status update may arrive at the destination much …

In the context of the next generation wireless networks, freshness of status update packets is
essential for enabling the services where a destination needs the most recent …