Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Age-of-Information in Practice: Status Age Measured over TCP/IP Connections through WiFi, Ethernet and LTE
Date
2018-06-07
Author
Sonmez, Canberk
Baghaee, Sajjad
Ergisi, Abdussamed
Uysal, Elif
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
175
views
0
downloads
Cite This
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 results of a real-life implementation measuring the variation of AoI over TCP/IP links served by WiFi, LTE, 3G, 2G and Ethernet for different rates of status update generation by an application running over the Internet.
Subject Keywords
Age of Information (AoI)
,
AoI on TCP/IP
,
AoI over WiFi
,
AoI over LTE
,
AoI over Ethernet
,
Experimental AoI
URI
https://hdl.handle.net/11511/53382
Conference Name
IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)
Collections
Department of Electrical and Electronics Engineering, Conference / Seminar
Suggestions
OpenMETU
Core
Measuring age of information on real-life connections
Beytur, Hasan Burhan; Baghaee, Sajjad; Uysal, Elif (2019-04-01)
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 ...
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...
Towards AoI-aware Smart IoT Systems
Beytur, Hasan Burhan; Baghaee, Sajjad; Uysal, Elif (2020-02-01)
Age of Information (AoI) has gained importance as a Key Performance Indicator (KPI) for characterizing the freshness of information in information-update systems and time-critical applications. Recent theoretical research on the topic has generated significant understanding of how various algorithms perform in terms of this metric on various system models and networking scenarios. In this paper, we study AoI behavior on experimental implementations of packet flows among IoT nodes and over the Internet. AoI ...
Age Minimization of Multiple Flows using Reinforcement Learning
Beytur, Hasan Burhan; Uysal, Elif (2019-04-11)
Age of Information (AoI) is a recently proposed performance metric measuring the freshness of data at the receiving side of a flow. This metric is particularly suited to status-update type information flows, like those occurring in machine-type communication (MTC), remote monitoring and similar applications. In this paper, we consider the problem of AoI-optimal scheduling of multiple flows served by a single server. The performance of scheduling algorithms proposed in previous literature has been shown unde...
Collaborative Direction of Arrival estimation by using Alternating Direction Method of Multipliers in distributed sensor array networks employing Sparse Bayesian Learning framework
Nurbas, Ekin; Onat, Emrah; Tuncer, Temel Engin (2022-10-01)
In this paper, we present a new method for Direction of Arrival (DoA) estimation in distributed sensor array networks by using Alternating Direction Method of Multipliers (ADMM) in Sparse Bayesian Learning (SBL) framework. Our proposed method, CDoAE, has certain advantages compared to previous distributed DoA estimation methods. It does not require any special array geometry and there is no need for inter -array frequency and phase matching. CDoAE uses the distributed ADMM to update the parameter set extrac...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
C. Sonmez, S. Baghaee, A. Ergisi, and E. Uysal, “Age-of-Information in Practice: Status Age Measured over TCP/IP Connections through WiFi, Ethernet and LTE,” presented at the IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom), Batumi, GEORGIA, 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53382.
