Measuring age of information on real-life connections

Beytur, Hasan Burhan
Baghaee, Sajjad
Uysal, Elif
Age of Information (AoI) is a relatively new metric to measure freshness of networked application such as real-time monitoring of status updates or control. The AoI metric is discussed in the literature mainly in a theoretical way. In this work, we want to point out the issues related to the measuring AoI-related values, such as synchronization and calculation of the values. We discussed the effect of synchronization error in the measurement and a solution for calculating an estimate of average AoI without any synchronization.


Optimizing age of information on real-life TCP/IP connections through reinforcement learning
Sert, Egemen; Sonmez, Canberk; Baghaee, Sajjad; Uysal, Elif (2018-07-05)
Age of Information (AoI) has emerged as a performance metric capturing the freshness of data for status-update based applications ( e.g. , remote monitoring) as a more suitable alternative to classical network performance indicators such as throughput or delay. Optimizing AoI often requires distinctly novel and sometimes counter-intuitive networking policies that adapt the rate of update transmissions to the randomness in network resources. However, almost all previous work on AoI to data has been theoretic...
Age-of-Information in Practice: Status Age Measured over TCP/IP Connections through WiFi, Ethernet and LTE
Sonmez, Canberk; Baghaee, Sajjad; Ergisi, Abdussamed; Uysal, Elif (2018-06-07)
The Age of Information (AoI) has gained importance as a Key Performance Indicator (KPI) measuring freshness of information in information-update systems and time-critical applications. Almost all the previous literature on AoI has been theoretical. Most of these theoretical studies assumed knowledge of the statistics of network delays and/or link service times. However, in real-life networks, various factors contribute to these parameters, resulting in a complicated effect on age. This paper reports the res...
Reinforcement Learning Based Adaptive Blocklength and MCS Selection for Minimization of Age Violation Probability
Özkaya, Ayşenur; Ceran Arslan, Elif Tuğçe; Department of Electrical and Electronics Engineering (2022-1)
As a measure of data freshness, Age of Information (AoI) is an important semantic performance metric in systems where small status update packets need to be delivered to a monitor in a timely manner. This study aims to minimize the age violation probability (AVP), which is defined as the probability that instantaneous age exceeds a certain threshold. The AVP can be considered as one of the key performance indicators in emerging 5G and beyond technologies such as massive machine-to-machine communications (mM...
Scheduling Status Updates to Minimize Age of Information with an Energy Harvesting Sensor
Bacınoğlu, Baran Tan; Uysal, Elif (2017-06-30)
Age of Information is a measure of the freshness of status updates in monitoring applications and update-based systems. We study a real-time sensing scenario with a sensor which is restricted by time-varying energy constraints and battery limitations. The sensor sends updates over a packet erasure channel with no feedback. The problem of finding an age-optimal threshold policy, with the transmission threshold being a function of the energy state and the estimated current age, is formulated. The average age ...
Evaluation of Age Control Protocol (ACP) and ACP+ on ESP32
Guloglu, Umut; Baghaee, Sajjad; Uysal, Elif (2021-09-06)
Age Control Protocol (ACP) and its enhanced version, ACP+, are recently proposed transport layer protocols to control Age of Information of data flows. This study presents an experimental evaluation of ACP and ACP+ on the ESP32 microcontroller, a currently popular IoT device. We identify several issues related to the implementation of these protocols on this platform and in general on short-haul, low-delay connections. We propose solutions to overcome these issues in the form of simple modifications to ACP+...
Citation Formats
H. B. Beytur, S. Baghaee, and E. Uysal, “Measuring age of information on real-life connections,” 2019, Accessed: 00, 2020. [Online]. Available: