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Annihiliation of Redudant Data in Amalgamation of WSN's using Data Cleansing

by Saleem Malik S, Kanmani, Vishwas S, Yashashwini K.l, M.h Sooraj Prasad
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 112 - Number 8
Year of Publication: 2015
Authors: Saleem Malik S, Kanmani, Vishwas S, Yashashwini K.l, M.h Sooraj Prasad
10.5120/19686-1432

Saleem Malik S, Kanmani, Vishwas S, Yashashwini K.l, M.h Sooraj Prasad . Annihiliation of Redudant Data in Amalgamation of WSN's using Data Cleansing. International Journal of Computer Applications. 112, 8 ( February 2015), 24-28. DOI=10.5120/19686-1432

@article{ 10.5120/19686-1432,
author = { Saleem Malik S, Kanmani, Vishwas S, Yashashwini K.l, M.h Sooraj Prasad },
title = { Annihiliation of Redudant Data in Amalgamation of WSN's using Data Cleansing },
journal = { International Journal of Computer Applications },
issue_date = { February 2015 },
volume = { 112 },
number = { 8 },
month = { February },
year = { 2015 },
issn = { 0975-8887 },
pages = { 24-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume112/number8/19686-1432/ },
doi = { 10.5120/19686-1432 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:48:55.283272+05:30
%A Saleem Malik S
%A Kanmani
%A Vishwas S
%A Yashashwini K.l
%A M.h Sooraj Prasad
%T Annihiliation of Redudant Data in Amalgamation of WSN's using Data Cleansing
%J International Journal of Computer Applications
%@ 0975-8887
%V 112
%N 8
%P 24-28
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Nowadays manufacturing environments are very charismatic and inclement. Traditional management information systems (MISs) have mostly been implemented upon hierarchical architectures, which are inflexible to adapt changes and uncertainties promptly. Next-generation MISs must be agile and adaptable to accommodate changes without significant time delays. It is essential for an MIS to obtain real-time data from the distributed and vehement manufacturing environment for decision making. Wireless sensor networks (WSNs) and radio-frequency identification (RFID) systems provide an excellent infrastructure for data acquisition, distribution, and processing. In this paper, some key challenges related to the amalgamation of WSN and RFID technologies are discussed. A five-layer system architecture has been proposed to achieve synergistic performance. For the amalgamation of WSN and RFID, one of the critical issues is the low efficiency of communication due to redundant data as redundant data increases energy consumption and causes time delay. To address it, an improved data cleansing algorithm has been proposed; its feasibility and effectiveness have been verified via simulation and a comparison with a published algorithm. To illustrate the capacity of the developed architecture and new data cleaning algorithm, their application in relief supplies storage management has been discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Management Information System Data Cleansing Wireless Sensor Networks(WSN).

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