Osama Salameh, Mohammed Awad and Fadi AbuAlrub
Department of Computer Systems Engineering, Arab American University, Palestine
ABSTRACT
Internet of Things (IoT) allows communication among human-to-things, things-to-human, and things-to things that are incorporated into an information networks allowing automatic information interchange and
the processing of data at real time. In this paper, we conduct a performance analysis of a real application
defined through four traffic classes with the priorities present in smart cities using Continuous Time
Markov Chains(CTMC). Based on a finite capacity queuing system, we propose a new cost-effective
analytical model with a push-out management scheme in favor of the highest priority (emergency) traffic.
Based on the analytical model, several performance measures for different traffic classes have been
studied extensively including blocking probability; push out probability, delay, channel utilization as well as
overall system performance.
KEYWORDS
Performance analysis, Markov chain, IoT
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