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Reseach Article

Delay Efficient Distributed Data Aggregation Algorithm in Wireless Sensor Networks

by Prakashgoud Patil, Umakant Kulkarni
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 1
Year of Publication: 2013
Authors: Prakashgoud Patil, Umakant Kulkarni
10.5120/11810-7469

Prakashgoud Patil, Umakant Kulkarni . Delay Efficient Distributed Data Aggregation Algorithm in Wireless Sensor Networks. International Journal of Computer Applications. 69, 1 ( May 2013), 48-55. DOI=10.5120/11810-7469

@article{ 10.5120/11810-7469,
author = { Prakashgoud Patil, Umakant Kulkarni },
title = { Delay Efficient Distributed Data Aggregation Algorithm in Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 1 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 48-55 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number1/11810-7469/ },
doi = { 10.5120/11810-7469 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:29:08.652848+05:30
%A Prakashgoud Patil
%A Umakant Kulkarni
%T Delay Efficient Distributed Data Aggregation Algorithm in Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 1
%P 48-55
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In wireless sensor networks data aggregation is a very important one and at the same time the aggregation should be energy efficient and a lesser amount of delay. To solve the problem we propose Delay Efficient Distributed Data Aggregation (DEDA) Scheduling Algorithm for Wireless Sensor Network (WSN) to handle the delay and energy tradeoff in the process of aggregation using the timeout concept. In this paper, first we are building the aggregated tree. After building the aggregation tree the Distributed Data Aggregation Scheduling algorithm to achieve the optimized energy efficiency and delay aware data aggregation. Decision Making Unit (DMU) has been used to handle energy and delay trade off. The DMU will control the tradeoff between energy and delay by generating the timeout values. The main advantage of this approach is to achieve the ideal energy consumption by limiting a number of redundant and unnecessary responses from the sensor nodes.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Data Aggregation Dynamic Timeout and Energy Efficiency