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Sensors 2015, 15(1), 2021-2040; doi:10.3390/s150102021

Double Cluster Heads Model for Secure and Accurate Data Fusion in Wireless Sensor Networks

School of Electronic and Information Engineering, Key Laboratory of Communication and Information Systems, Beijing Municipal Commission of Education, Beijing Jiaotong University, Beijing 100044, China
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Received: 12 October 2014 / Accepted: 13 January 2015 / Published: 19 January 2015
(This article belongs to the Section Sensor Networks)
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Abstract

Secure and accurate data fusion is an important issue in wireless sensor networks (WSNs) and has been extensively researched in the literature. In this paper, by combining clustering techniques, reputation and trust systems, and data fusion algorithms, we propose a novel cluster-based data fusion model called Double Cluster Heads Model (DCHM) for secure and accurate data fusion in WSNs. Different from traditional clustering models in WSNs, two cluster heads are selected after clustering for each cluster based on the reputation and trust system and they perform data fusion independently of each other. Then, the results are sent to the base station where the dissimilarity coefficient is computed. If the dissimilarity coefficient of the two data fusion results exceeds the threshold preset by the users, the cluster heads will be added to blacklist, and the cluster heads must be reelected by the sensor nodes in a cluster. Meanwhile, feedback is sent from the base station to the reputation and trust system, which can help us to identify and delete the compromised sensor nodes in time. Through a series of extensive simulations, we found that the DCHM performed very well in data fusion security and accuracy. View Full-Text
Keywords: Double Cluster Heads Model; clustering; data fusion; security; accuracy Double Cluster Heads Model; clustering; data fusion; security; accuracy
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Fu, J.-S.; Liu, Y. Double Cluster Heads Model for Secure and Accurate Data Fusion in Wireless Sensor Networks. Sensors 2015, 15, 2021-2040.

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