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Talk · International Conference on Communications · May 28, 2023

Age of Information in Multi-Source Updating Systems: An M/G/1 Vacation Queueing Model

Muthukrishnan Senthil Kumar, Aresh Dadlani, Masoumeh Moradian, Behrouz Maham, Theodoros A. Tsiftsis

Aresh Dadlani
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Abstract

Concurrent with the rise of real-time wireless systems enabled by the Internet of Things, the age of information (AoI) has been widely perceived as a crucial destination-centric performance metric to quantify the timeliness of data delivery. This paper deals with the analysis of information freshness in a multi-source M/G/1 queueing system with utilization of idle server time, referred to as server vacation, in an effective manner. In particular, the status update packets in our model are generated independently by a finite set of source nodes and according to a Poisson process, while their service time follows a general random variable. Using stochastic decomposition and the Laplace-Stieltjes transform, we derive the average AoI (AAoI) expression for the multi-source M/G/1 queueing model with generally-distributed vacation time in closed form. Our numerical simulations validate the accuracy of the derived AAoI expression and assess the impact of different parameters on the system performance.

Age of Information OptimizationAdvanced Queuing Theory AnalysisStability and Control of Uncertain Systemsage of informationM/G/1 queueserver vacation

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