University of Oulu

M. Moltafet, M. Leinonen and M. Codreanu, "On the Age of Information in Multi-Source Queueing Models," in IEEE Transactions on Communications, vol. 68, no. 8, pp. 5003-5017, Aug. 2020, doi: 10.1109/TCOMM.2020.2997414

On the age of information in multi-source queueing models

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Author: Moltafet, Mohammad1; Leinonen, Markus1; Codreanu, Marian2
Organizations: 1Centre for Wireless Communications–Radio Technologies, University of Oulu, 90014 Oulu, Finland
2Department of Science and Technology, Link¨oping University, Sweden
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.1 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2020100983569
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2020-10-09
Description:

Abstract

Freshness of status update packets is essential for enabling services where a destination needs the most recent measurements of various sensors. In this paper, we study the information freshness of single-server multi-source queueing models under a first-come first-served (FCFS) serving policy. In the considered model, each source independently generates status update packets according to a Poisson process. The information freshness of the status updates of each source is evaluated by the average age of information (AoI). We derive an exact expression for the average AoI for the case with exponentially distributed service time, i.e., for a multi-source M/M/1 queueing model. Moreover, we derive three approximate expressions for the average AoI for a multi-source M/G/1 queueing model having a general service time distribution. Simulation results are provided to validate the derived exact average AoI expression, to assess the tightness of the proposed approximations, and to demonstrate the AoI behavior for different system parameters.

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Series: IEEE transactions on communications
ISSN: 0090-6778
ISSN-E: 1558-0857
ISSN-L: 0090-6778
Volume: 68
Issue: 8
Pages: 5003 - 5017
DOI: 10.1109/TCOMM.2020.2997414
OADOI: https://oadoi.org/10.1109/TCOMM.2020.2997414
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
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