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A data fusion method in wireless sensor networks

Izadi, Davood, Abawajy, Jemal H., Ghanavati, Sara and Herawan, Tutut 2015, A data fusion method in wireless sensor networks, Sensors, vol. 15, no. 2, pp. 2964-2979, doi: 10.3390/s150202964.

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Title A data fusion method in wireless sensor networks
Author(s) Izadi, Davood
Abawajy, Jemal H.
Ghanavati, Sara
Herawan, Tutut
Journal name Sensors
Volume number 15
Issue number 2
Start page 2964
End page 2979
Total pages 16
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2015-01-28
ISSN 1424-8220
Keyword(s) wireless sensor network
data fusion
fuzzy logic controller
data redundancy
Summary The success of a Wireless Sensor Network (WSN) deployment strongly depends on the quality of service (QoS) it provides regarding issues such as data accuracy, data aggregation delays and network lifetime maximisation. This is especially challenging in data fusion mechanisms, where a small fraction of low quality data in the fusion input may negatively impact the overall fusion result. In this paper, we present a fuzzy-based data fusion approach for WSN with the aim of increasing the QoS whilst reducing the energy consumption of the sensor network. The proposed approach is able to distinguish and aggregate only true values of the collected data as such, thus reducing the burden of processing the entire data at the base station (BS). It is also able to eliminate redundant data and consequently reduce energy consumption thus increasing the network lifetime. We studied the effectiveness of the proposed data fusion approach experimentally and compared it with two baseline approaches in terms of data collection, number of transferred data packets and energy consumption. The results of the experiments show that the proposed approach achieves better results than the baseline approaches.
Language eng
DOI 10.3390/s150202964
Field of Research 080501 Distributed and Grid Systems
Socio Economic Objective 890103 Mobile Data Networks and Services
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2015, MDPI
Persistent URL http://hdl.handle.net/10536/DRO/DU:30070772

Document type: Journal Article
Collections: School of Information Technology
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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.