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Comparative Study of Clustering based Routing Protocols for Wireless Sensor Network

by Anjali Bharti, Kanika Sharma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 66 - Number 21
Year of Publication: 2013
Authors: Anjali Bharti, Kanika Sharma
10.5120/11238-6400

Anjali Bharti, Kanika Sharma . Comparative Study of Clustering based Routing Protocols for Wireless Sensor Network. International Journal of Computer Applications. 66, 21 ( March 2013), 9-12. DOI=10.5120/11238-6400

@article{ 10.5120/11238-6400,
author = { Anjali Bharti, Kanika Sharma },
title = { Comparative Study of Clustering based Routing Protocols for Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { March 2013 },
volume = { 66 },
number = { 21 },
month = { March },
year = { 2013 },
issn = { 0975-8887 },
pages = { 9-12 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume66/number21/11238-6400/ },
doi = { 10.5120/11238-6400 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:23:01.069598+05:30
%A Anjali Bharti
%A Kanika Sharma
%T Comparative Study of Clustering based Routing Protocols for Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 66
%N 21
%P 9-12
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

A wireless sensor network consists of large number of sensor nodes deployed on a large field and has limited battery lifetime which get depleted at a faster rate due to their communication and computation operation. These sensor nodes has the ability of sensing, computing and transmitting data from the harsh environment. Many communication protocols are designed to make efficient and effective utilization of energy. A comparative study of clustering based routing protocols has been done which gives an overview of the performance of protocols on some factors like cluster stability, latency, energy efficiency and load balancing etc

References
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Index Terms

Computer Science
Information Sciences

Keywords

Cluster stability latency energy efficiency load balancing data aggregation classification and algorithm complexity

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