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Performance Analysis of IoT System using Sleep Server Technique
Author(s) -
Prasanta Kumar Swain,
Manas Kumar Rath,
Jibendu Kumar Mantri
Publication year - 2020
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.d1668.029420
Subject(s) - computer science , network packet , computer network , wireless sensor network , queueing theory , automation , internet of things , component (thermodynamics) , power consumption , distributed computing , embedded system , power (physics) , mechanical engineering , physics , quantum mechanics , engineering , thermodynamics
Modern day living is driven by wireless sensor networks (WSN) as a component of ubiquitous technology. Internet of things (IoT) is a backbone network which enables the sensors to communicate with each other and with machines attached to that network through internet. The growing applications of system automation impose to usesr to use IoT. However, performance prediction turns out to be a challenge to manage the computing resources in IoT due to dynamic need of the user applications. We have proposed a model based on queueing theory approach for performance analysis of multi-server based IoT enabled system. We have proposed a M/M/C/Sleep where the working server is in OFF state when there is no data packets to serve and switched to ON through set-up phase if there are some data request for service. The performance indices are derived for cost analysis in terms of power consumption.

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