Information Freshness in A Dual Monitoring System
Dapeng Deng, Zhengchuan Chen, Howard H. Yang, Νικόλαος Παππάς, Limei Hu, Min Wang, Yunjian Jia, Tony Q. S. Quek
Abstract
We study the average age of information (AoI) and peak AoI (PAoI) of a dual-queue status update system that monitors a common stochastic process. We capture the state transition characteristics of the considered system by establishing a Markov chain. Using the state flow graph analysis method, we derive closed-form expressions of the average peak age of information (PAoI) and the average age of information (AoI) for the dual-queue update system. The numerical results show that compared with the single-queue update system, the average PAoI of the dual-queue update system is reduced by 33.5% and the average AoI dropped by 37.5%.
Topics & Concepts
QueueMarkov chainDual (grammatical number)Computer scienceGraphMarkov processReal-time computingMathematicsStatisticsTheoretical computer scienceComputer networkMachine learningArtLiteratureAge of Information OptimizationCongenital Heart Disease StudiesAtomic and Subatomic Physics Research