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A Dynamic Aggregation Protocol for Energy Efficient Data Fusion in Wireless Sensor Network

by Adwitiya Sinha, D. K. Lobiyal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 16 - Number 3
Year of Publication: 2011
Authors: Adwitiya Sinha, D. K. Lobiyal
10.5120/1991-2683

Adwitiya Sinha, D. K. Lobiyal . A Dynamic Aggregation Protocol for Energy Efficient Data Fusion in Wireless Sensor Network. International Journal of Computer Applications. 16, 3 ( February 2011), 32-38. DOI=10.5120/1991-2683

@article{ 10.5120/1991-2683,
author = { Adwitiya Sinha, D. K. Lobiyal },
title = { A Dynamic Aggregation Protocol for Energy Efficient Data Fusion in Wireless Sensor Network },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 16 },
number = { 3 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 32-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume16/number3/1991-2683/ },
doi = { 10.5120/1991-2683 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:03:54.254566+05:30
%A Adwitiya Sinha
%A D. K. Lobiyal
%T A Dynamic Aggregation Protocol for Energy Efficient Data Fusion in Wireless Sensor Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 3
%P 32-38
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Effective data fusion principally prolongs the survival of a Wireless Sensor Network (WSN) and largely determines the degree of its performance in terms of energy utilization. In our research work, we propose a data fusion protocol based on clustering technique. The protocol computes the correlation-dominating set by exploiting spatial and temporal correlation among the data sensed by the sensor nodes in the network. On the basis of the dominating set the network correlation graph is derived, which is further applied to form clusters. Moreover, an efficient energy model is taken into consideration for electing a sensor node from the dominating set as the cluster head. Finally within a cluster, the cluster head aggregates data from the remaining dominating nodes and transmits them to the data processing node. It can be observed that with the application of correlation and aggregation in our protocol, the size of the set of actually transmitting nodes is reduced significantly. We have used Network Simulator (ns-2.34) to simulate our work. The results are obtained in terms of three metrics: energy consumption, success rate and network lifespan. The results are obtained by taking average of five runs, to ensure precision in the experimentation.

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Index Terms

Computer Science
Information Sciences

Keywords

Connected correlation dominating set network correlation graph BF-hypergraph data correlation and covariance data aggregation