activity
20232026
collaborators

17 papers

cs.IT2026

Minimizing Age of Incorrect Information in Pull-Based Remote Estimation of a Markov Source

Ismail Cosandal, Sennur Ulukus, Nail Akar

In this paper, we consider a discrete-time pull-based remote estimation system involving an information source and a remote monitor where the information source is a finite-state i…

cs.IT2026

Dynamic Attack Surfaces: A Queue of Branching Processes

Ismail Cosandal, Abdullah Y. Etcibasi, C. Emre Koksal +1

Modern attack surfaces are inherently dynamic. Vulnerabilities emerge over time and they remain exposed to exploit until defenders discover and patch them. Artificial intelligence…

cs.IT2026

Dual-Regime Absorbing Markov Chain Theory in Remote Estimation: Age-Minimizing Push Policies

Ismail Cosandal, Sennur Ulukus, Nail Akar

For a remote estimation system, we study the optimization of age of incorrect information (AoII), which is a recently proposed semantic-aware information freshness metric. In parti…

cs.IT2026

When and Which Sensor to Observe? Timely Tracking of a Joint Markov Source

Ismail Cosandal, Sennur Ulukus, Nail Akar

We investigate the problem of remote estimation (at a monitor) of a discrete-time joint Markov process with individual components which can be observed with dedicated sensors. At a…

cs.IT2026

How Far Back in Time a Digital Twin Reflects the State of the Physical Object: Age of Staleness

Ismail Cosandal, Sennur Ulukus

The groundbreaking metric age of information (AoI) has been introduced to measure information freshness in communication networks. As transformational as it is, AoI metric falls sh…

cs.IT2025

Age of Information with Age-Dependent Server Selection

Nail Akar, Ismail Cosandal, Sennur Ulukus

In this paper, we consider a single-source multi-server generate-at-will discrete-time non-preemptive status update system where update packets are transmitted using {\em only one}…

cs.IT2025

Semi-Markov Decision Process Framework for Age of Incorrect Information Minimization

Ismail Cosandal, Sennur Ulukus, Nail Akar

For a remote estimation system, we study age of incorrect information (AoII), which is a recently proposed semantic-aware freshness metric. In particular, we assume an information…

cs.IT2025

Optimal Source Coding of Markov Chains for Real-Time Remote Estimation

Ismail Cosandal, Sennur Ulukus

We revisit the source coding problem for a Markov chain under the assumption that the transmission times and how fast the Markov chain transitions its state happen at the same time…

cs.IT2025

Timely Tracking of a Wiener Process With Single Bit Quantization

Ismail Cosandal, Sahan Liyanaarachchi, Sennur Ulukus

We consider the problem of timely tracking of a Wiener process via an energy-conserving sensor by utilizing a single bit quantization strategy under periodic sampling. Contrary to…

cs.IT2025

Minimizing Functions of Age of Incorrect Information for Remote Estimation

Ismail Cosandal, Sennur Ulukus, Nail Akar

The age of incorrect information (AoII) process which keeps track of the time since the source and monitor processes are in sync, has been extensively used in remote estimation pro…

cs.IT2025

Source Coding for a Wiener Process

Sahan Liyanaarachchi, Ismail Cosandal, Sennur Ulukus

We develop a novel source coding strategy for sampling and monitoring of a Wiener process. For the encoding process, we employ a four level ``quantization'' scheme, which employs m…

cs.IT2025

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…

cs.IT2024

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…

cs.IT2024

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…

cs.IT2024

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…

cs.IT2024

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…

cs.IT2023

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…