A Markovian Model for Internet of Things Application
O. Salameh. International Journal of Computer Networks & Communications (IJCNC), 11 (2):
113-124(March 2019)
DOI: 10.5121/ijcnc.2019.11208
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.
%0 Journal Article
%1 salamehmarkovian
%A Salameh, Osama
%D 2019
%E Natarajan, Meghanathan
%J International Journal of Computer Networks & Communications (IJCNC)
%K Performance analysis
%N 2
%P 113-124
%R 10.5121/ijcnc.2019.11208
%T A Markovian Model for Internet of Things Application
%U http://airccse.org/journal/ijc2019.html
%V 11
%X 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.
@article{salamehmarkovian,
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.
},
added-at = {2019-05-20T08:04:42.000+0200},
author = {Salameh, Osama},
biburl = {https://www.bibsonomy.org/bibtex/25c999a3b7be73a7019e5f95af406ecd8/laimbee},
doi = {10.5121/ijcnc.2019.11208},
editor = {Natarajan, Meghanathan},
interhash = {91c64fcbe036736cf1bf4551b7500a78},
intrahash = {5c999a3b7be73a7019e5f95af406ecd8},
issn = {0974 - 9322},
journal = {International Journal of Computer Networks & Communications (IJCNC) },
keywords = {Performance analysis},
language = {English},
month = mar,
number = 2,
pages = {113-124},
timestamp = {2019-05-20T08:04:42.000+0200},
title = {A Markovian Model for Internet of Things Application },
url = {http://airccse.org/journal/ijc2019.html},
volume = 11,
year = 2019
}