Cloud Computing based on RFID Internet of Things

Mr R.Venkatesan

Cloud Computing based on RFID Internet of Things

Mr R.Venkatesan * §

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§ Dravidian University

Cloud Computing based on RFID Internet of Things

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CSTO4310

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Abstract

The Internet of things is through the radio frequency identification (RFID), infrared sensors, GPS, laser scanners and other information sensing device, as agreed in the agreement, any items and Internet connection, the exchange of information and communication, to realize intelligent identification, location, with a network tracking, monitoring and management. The core of cloud computing is the high-speed information processing and transmission, its core idea is that large amounts of computing resources connected by a network of unified management and scheduling, constitute a computing resource pool to users on demand service. The three components of RFID system include the reader, antenna and the tag. The paper put forward the novel analysis model of Cloud computing based on RFID Internet of things.

References

8 Cites in Article

Reference Format

Yang Zhexi,Huacheng (2013). Unknown Title.
Bing Li,, A Meina Song,Junde Song (2012). Unknown Title.
Zhang Qing-Hui,Cheng Heng-Feng,Xu Hong (2011). Unknown Title.
Kai-Jian Liang,Quan Liang (2012). Unknown Title.
Qunfa Cui,Yanwei Tian,Hejun Yao (2014). Unknown Title.
Haiyan Liu,Jiahua Wei,Zenggang Xiong,Guangqian Wang (2012). Unknown Title.
Sunong Wu (2012). Unknown Title.
Guo Wang,Dong Dai (2013). Unknown Title.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Mr R.Venkatesan. 2016. "Cloud Computing based on RFID Internet of Things". Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 16 (GJCST Volume 16 Issue B3).

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GJCST Volume 16 Issue B3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-B Classification I.4.1

C.2.5

Submission ReceivedDecember 15, 2015
Peer Review Double Blind
Handling Editor
Accepted January 5, 2016
Published January 15, 2016

Version of record

v1.2

Issue date

December 15, 2016

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Mr.R. Venkatesan, Dr.C. Chandrasekar (PhD/Dr. count: 1)

View Count (all-time): 378

Total Views (Real + Logic): 3181

Total Downloads (simulated): 269

Publish Date: 2016 01, Fri

Monthly Totals (Real + Logic):

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Total Views: 3.2K

Total Downloads: 269

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