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Hybrid Data Filtering Approach for Mobile Wireless Sensor Networks

by Kavita Gupta, Aarti Singh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 138 - Number 8
Year of Publication: 2016
Authors: Kavita Gupta, Aarti Singh
10.5120/ijca2016909022

Kavita Gupta, Aarti Singh . Hybrid Data Filtering Approach for Mobile Wireless Sensor Networks. International Journal of Computer Applications. 138, 8 ( March 2016), 37-41. DOI=10.5120/ijca2016909022

@article{ 10.5120/ijca2016909022,
author = { Kavita Gupta, Aarti Singh },
title = { Hybrid Data Filtering Approach for Mobile Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { March 2016 },
volume = { 138 },
number = { 8 },
month = { March },
year = { 2016 },
issn = { 0975-8887 },
pages = { 37-41 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume138/number8/24402-2016909022/ },
doi = { 10.5120/ijca2016909022 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:39:11.247748+05:30
%A Kavita Gupta
%A Aarti Singh
%T Hybrid Data Filtering Approach for Mobile Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 138
%N 8
%P 37-41
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a hybrid data filtering approach for mobile wireless sensor networks. This hybrid approach ensures filtering of data before it is being sent to sink node from the sensor network. Further, this approach reduces amount of noisy data being transferred, thereby increasing network lifetime and reducing rate of packet transmission in the network. However, slight increase in packet transmission time has been observed which is acceptable considering the improvement in quality of data being received. Present approach has been implemented, however its comparison with other existing approaches is still left as future work.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Data Filtering Hybrid Filtering Energy efficiency Periodic Filtering noisy data.

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