Authors:
Tamer E. Fahim
1
;
2
;
Sherif I. Rabia
1
;
2
;
Ahmed H. Abd El-Malek
3
and
Waheed K. Zahra
1
;
4
Affiliations:
1
Basic and Applied Sciences Institute, Egypt-Japan University of Science and Technology, Alexandria, Egypt
;
2
Department of Engineering Mathematics and Physics, Faculty of Engineering, Alexandria University, Alexandria, Egypt
;
3
School of Electronics, Communications and Computer Engineering, Egypt-Japan University of Science and Technology, Alexandria, Egypt
;
4
Department of Engineering Physics and Mathematics, Faculty of Engineering, Tanta University, Tanta, Egypt
Keyword(s):
Age of Information, Queueing Models, Stochastic Hybrid Systems, Internet of Things.
Abstract:
The ubiquitous deployment of the internet of things technology engenders great attention to the real-time status update systems. However, the real-life situation implies the service differentiation between sources according to their sensitivity, a problem that is rarely addressed in the literature. This situation is to be handled classically by adopting the preemption or non-preemption service disciplines. In any of these disciplines, an improvement is yielded for some specific classes with a severe degradation for the others. To address this paradox, we propose a probabilistic hybrid service discipline, by which the decision of preemption for each class is controlled by a probabilistic parameter. The stochastic hybrid system approach is employed to analyze the average age of information for each class. A numerical study of a three-class prioritized network demonstrates the significance of the proposed model to compromise the performance of all classes even in the worse traffic loadi
ng conditions. Moreover, three different approaches are proposed to adjust the probabilistic hybrid parameters for more promising results.
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