Please use this identifier to cite or link to this item: http://repository.aaup.edu/jspui/handle/123456789/2732
Title: A M arkovian model for IoT Network رسالة ماجستير
Authors: AbuAlrub, Fadi Khaleel$AAUP$Palestinian
Keywords: neyworks,internet,iot appications,markovian
Issue Date: 2019
Publisher: AAUP
Abstract: Internet of Things is one of the modern technological models that exemplify an extension of the existing heterogeneous networks. It allows the communication among human-to-human, human-to-things, and things-to-things that are incorporated into an information network allowing automatic information interchange and the processing of data at real time. This field has attracted the attention of researchers to address the potential of the IoT in different fields taking into account the different challenges that face this technology. In this thesis, we conduct a performance analysis of a real application defined through four traffic classes with priorities present in smart cities using Continuous Time Markov Chains (CTMC). Based on a finite capacity buffer system, we propose a new cost-effective analytical model with a push-out scheme in favor of 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
Description: Master's degree in Computer Science
URI: http://repository.aaup.edu/jspui/handle/123456789/2732
Appears in Collections:Master Theses and Ph.D. Dissertations

Files in This Item:
File Description SizeFormat 
فادي ابو الرب.pdf2.29 MBAdobe PDFThumbnail
View/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Admin Tools