An Approximate Expression for the Average AoI in a Multi-Source M/G/1 Queueing Model

Freshness of status update packets is essential for wide range of real-time Internet of things applications. In this paper, we study the information freshness of a single-server multi-source queueing model 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 approximate expression 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 and assess the tightness of the proposed approximate expression for the average AoI in the M/G/1 queueing model where the service time follows a gamma distribution.

Authors:
Moltafet Mohammad, Leinonen Markus, Codreanu Marian

Publication type:
A4 Article in conference proceedings

Place of publication:
2020 2nd 6G Wireless Summit (6G SUMMIT)

Keywords:
6G Publication

Published:
4 May 2020

Full citation:
M. Moltafet, M. Leinonen and M. Codreanu, “An Approximate Expression for the Average AoI in a Multi-Source M/G/1 Queueing Model,” 2020 2nd 6G Wireless Summit (6G SUMMIT), Levi, Finland, 2020, pp. 1-5, doi: 10.1109/6GSUMMIT49458.2020.9083844

DOI:
https://doi.org/10.1109/6GSUMMIT49458.2020.9083844

Read the publication here:
http://urn.fi/urn:nbn:fi-fe2020050725533