On the Age of Status Updates in Unreliable Multi-Source M/G/1 Queueing Systems

Muthukrishnan Senthil Kumar; Aresh Dadlani; Masoumeh Moradian; Ahmad Khonsari; Theodoros A. Tsiftsis

doi:10.1109/LCOMM.2022.3219729

On the Age of Status Updates in Unreliable Multi-Source M/G/1 Queueing Systems

Muthukrishnan Senthil Kumar, Aresh Dadlani, Masoumeh Moradian, Ahmad Khonsari, Theodoros A. Tsiftsis

Research output: Journal Publication › Article › peer-review

6 Citations (Scopus)

Abstract

The timeliness of status message delivery in communications networks is subjective to time-varying wireless channel transmissions. In this letter, we investigate the age of information (AoI) of each source in a multi-source M/G/1 queueing update system with active server failures. In particular, we adopt the method of supplementary variables to derive a closed-form expression for the average AoI in terms of system parameters, where the server repair time follows a general distribution and the service time of packets generated by independent sources is a general random variable. Numerical results are provided to validate the effectiveness of the proposed packet serving policy under different parametric settings.

Original language	English
Pages (from-to)	751-755
Number of pages	5
Journal	IEEE Communications Letters
Volume	27
Issue number	2
DOIs	https://doi.org/10.1109/LCOMM.2022.3219729
Publication status	Published - 1 Feb 2023
Externally published	Yes

Keywords

Age of information
multi-source M/G/1 queue
real-time systems
server failure
supplementary variable

ASJC Scopus subject areas

Modelling and Simulation
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/LCOMM.2022.3219729

Cite this

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abstract = "The timeliness of status message delivery in communications networks is subjective to time-varying wireless channel transmissions. In this letter, we investigate the age of information (AoI) of each source in a multi-source M/G/1 queueing update system with active server failures. In particular, we adopt the method of supplementary variables to derive a closed-form expression for the average AoI in terms of system parameters, where the server repair time follows a general distribution and the service time of packets generated by independent sources is a general random variable. Numerical results are provided to validate the effectiveness of the proposed packet serving policy under different parametric settings.",

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AU - Tsiftsis, Theodoros A.

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On the Age of Status Updates in Unreliable Multi-Source M/G/1 Queueing Systems

Abstract

Keywords

ASJC Scopus subject areas

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