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Reseach Article

Data Aggregation and Life Time Improvement in wireless Sensor Networks using Dynamic Clustering

by Reepu Daman, Preety Chaudhary, Rakesh Kumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 156 - Number 11
Year of Publication: 2016
Authors: Reepu Daman, Preety Chaudhary, Rakesh Kumar
10.5120/ijca2016912551

Reepu Daman, Preety Chaudhary, Rakesh Kumar . Data Aggregation and Life Time Improvement in wireless Sensor Networks using Dynamic Clustering. International Journal of Computer Applications. 156, 11 ( Dec 2016), 6-10. DOI=10.5120/ijca2016912551

@article{ 10.5120/ijca2016912551,
author = { Reepu Daman, Preety Chaudhary, Rakesh Kumar },
title = { Data Aggregation and Life Time Improvement in wireless Sensor Networks using Dynamic Clustering },
journal = { International Journal of Computer Applications },
issue_date = { Dec 2016 },
volume = { 156 },
number = { 11 },
month = { Dec },
year = { 2016 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume156/number11/26751-2016912551/ },
doi = { 10.5120/ijca2016912551 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:19.092187+05:30
%A Reepu Daman
%A Preety Chaudhary
%A Rakesh Kumar
%T Data Aggregation and Life Time Improvement in wireless Sensor Networks using Dynamic Clustering
%J International Journal of Computer Applications
%@ 0975-8887
%V 156
%N 11
%P 6-10
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Wireless sensor network is an emerging area of research due to vulnerability of sensing information from not approachable areas. In WSN sensor nodes have been deployed for sensing information and transmit this information to base station so that various decisions can be developed. In the processing of WSN data aggregation and energy consumption are major issues. In this paper a new approach has been purposed for data management and energy consumption reduction using dynamic clustering and avoidance ofredundant information transmission over the network. This approach use check sum approach for data redundancy checking and discard redundant or repeated information. This approach provides better results than previous approaches.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Energy optimization WSN data sensing clusters.