title: A data fusion method in wireless sensor networks.
abstract: 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.
authors: School of Information Technology, Deakin University, 3220 Waurn Ponds, Geelong, VIC 3216, Australia. dizadi@deakin.edu.au.
authors: Davood
authors: D
authors: Izadi
authors: School of Information Technology, Deakin University, 3220 Waurn Ponds, Geelong, VIC 3216, Australia. jemal.abawajy@deakin.edu.au.
authors: Jemal H
authors: JH
authors: Abawajy
authors: School of Information Technology, Deakin University, 3220 Waurn Ponds, Geelong, VIC 3216, Australia. sghanava@deakin.edu.au.
authors: Sara
authors: S
authors: Ghanavati
authors: Department of Information System, University of Malaya, 50603 Pantai Valley, Kuala Lumpur, 50603, Malaysia. tutut@um.edu.my.
authors: Tutut
authors: T
authors: Herawan