6 papers
Which Sensor to Observe? Timely Tracking of a Joint Markov Source with Model Predictive Control
Ismail Cosandal, Sennur Ulukus, Nail Akar
In this paper, we investigate the problem of remote estimation of a discrete-time joint Markov process using multiple sensors. Each sensor observes a different component of the joi…
Joint Age-State Belief is All You Need: Minimizing AoII via Pull-Based Remote Estimation
Ismail Cosandal, Sennur Ulukus, Nail Akar
Age of incorrect information (AoII) is a recently proposed freshness and mismatch metric that penalizes an incorrect estimation along with its duration. Therefore, keeping track of…
Multi-Threshold AoII-Optimum Sampling Policies for CTMC Information Sources
Ismail Cosandal, Nail Akar, Sennur Ulukus
We study push-based sampling and transmission policies for a status update system consisting of a general finite-state continuous-time Markov chain (CTMC) information source with k…
AoII-Optimum Sampling of CTMC Information Sources Under Sampling Rate Constraints
Ismail Cosandal, Nail Akar, Sennur Ulukus
We consider a sensor that samples an -state continuous-time Markov chain (CTMC)-based information source process, and transmits the observed state of the source, to a remote mon…
Modeling AoII in Push- and Pull-Based Sampling of Continuous Time Markov Chains
Ismail Cosandal, Nail Akar, Sennur Ulukus
Age of incorrect information (AoII) has recently been proposed as an alternative to existing information freshness metrics for real-time sampling and estimation problems involving…
Timely Multi-Goal Transmissions With an Intermittently Failing Sensor
Ismail Cosandal, Sennur Ulukus
A sensor observes a random phenomenon and transmits updates about the observed phenomenon to a remote monitor. The sensor may experience intermittent failures in which case the mon…