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Reseach Article

Single Point Interface for Data Analysis in Wireless Sensor Networks

by Disha J. Shah, Harshal A. Arolkar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 47 - Number 9
Year of Publication: 2012
Authors: Disha J. Shah, Harshal A. Arolkar
10.5120/7217-0022

Disha J. Shah, Harshal A. Arolkar . Single Point Interface for Data Analysis in Wireless Sensor Networks. International Journal of Computer Applications. 47, 9 ( June 2012), 22-26. DOI=10.5120/7217-0022

@article{ 10.5120/7217-0022,
author = { Disha J. Shah, Harshal A. Arolkar },
title = { Single Point Interface for Data Analysis in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { June 2012 },
volume = { 47 },
number = { 9 },
month = { June },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-26 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume47/number9/7217-0022/ },
doi = { 10.5120/7217-0022 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:41:26.534325+05:30
%A Disha J. Shah
%A Harshal A. Arolkar
%T Single Point Interface for Data Analysis in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 47
%N 9
%P 22-26
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Today, across a wide variety of areas, huge datasets are being collected and accumulated at a very high pace. The datasets addressed by individual applications are very often heterogeneous and geographically distributed, and are used by the communities of 2users, which are often large and also geographically scattered. Major challenges are involved in the efficient and reliable storage, fast processing, cleaning and extracting descriptive and predictive knowledge from this great mass of data. In this paper, we describe architecture of single point interface for data analysis meant for different applications of wireless sensor networks. This architecture will help the user extract the exact data required and view the output that is actually needed by him/her. The paper is divided into five sections, section I introduces wireless sensor network, section II lists various applications of WSN, section III contains the sample data set of different applications, section IV gives the proposed solution for performing data analysis and proposed architecture followed by conclusion in section V.

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Index Terms

Computer Science
Information Sciences

Keywords

Wsn (wireless Sensor Network) Data Mining Xml (extensible Markup Language) Data Warehouse Dataset