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Reseach Article

Dynamic Data Aggregation in Wireless Sensor Network

by Karamjot Kaur, Sukhwinder Singh Sran, Navjot Kaur
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 12
Year of Publication: 2016
Authors: Karamjot Kaur, Sukhwinder Singh Sran, Navjot Kaur
10.5120/ijca2016908055

Karamjot Kaur, Sukhwinder Singh Sran, Navjot Kaur . Dynamic Data Aggregation in Wireless Sensor Network. International Journal of Computer Applications. 134, 12 ( January 2016), 25-29. DOI=10.5120/ijca2016908055

@article{ 10.5120/ijca2016908055,
author = { Karamjot Kaur, Sukhwinder Singh Sran, Navjot Kaur },
title = { Dynamic Data Aggregation in Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 12 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 25-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number12/23967-2016908055/ },
doi = { 10.5120/ijca2016908055 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:34:02.814917+05:30
%A Karamjot Kaur
%A Sukhwinder Singh Sran
%A Navjot Kaur
%T Dynamic Data Aggregation in Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 12
%P 25-29
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The wireless sensor networks are the networks used for the data collection and also used to sense various physiological parameters like humidity, temperature, atmospheric pressure, etc. The wireless sensors are equipped with limited energy which increases the requirement of energy efficient methods in order to run the WSNs for the longer periods. The data traffic aggregation is the important energy efficiency factor. The data traffic aggregation methods are used to produce the cumulative traffic streams to reduce the routing overheads. In our dissertation, we have proposed an algorithm based on the average values for the sensing networks. The proposed model works in the binary model based average values, where every cluster is connected to the two clusters in the next connectivity level. The cluster heads collect the data from the other nodes in the cluster and calculate the average value which is further forwarded to the next level cluster head towards the sink node. The average value calculated from the gathered data obtained from the CH’s of different levels is forwarded to the sink node. The experimental results give the throughput two times more than previous method and reduction in the value of transmission delay and load.

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Index Terms

Computer Science
Information Sciences

Keywords

Data Aggregation Wireless Sensor Networks Clustering.