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Sensors 2016, 16(2), 252; doi:10.3390/s16020252

A Secure Scheme for Distributed Consensus Estimation against Data Falsification in Heterogeneous Wireless Sensor Networks

1,2,* , 1,†
,
2,†
,
2,†
and
2,†
1
Luoyang Electronic Equipment Test Center (LEETC), Luoyang 471003, China
2
Department of Automation, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai 200240, China
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editor: Rongxing Lu
Received: 30 November 2015 / Revised: 22 January 2016 / Accepted: 12 February 2016 / Published: 19 February 2016
(This article belongs to the Special Issue Security and Privacy in Sensor Networks)
View Full-Text   |   Download PDF [479 KB, uploaded 19 February 2016]   |  

Abstract

Heterogeneous wireless sensor networks (HWSNs) can achieve more tasks and prolong the network lifetime. However, they are vulnerable to attacks from the environment or malicious nodes. This paper is concerned with the issues of a consensus secure scheme in HWSNs consisting of two types of sensor nodes. Sensor nodes (SNs) have more computation power, while relay nodes (RNs) with low power can only transmit information for sensor nodes. To address the security issues of distributed estimation in HWSNs, we apply the heterogeneity of responsibilities between the two types of sensors and then propose a parameter adjusted-based consensus scheme (PACS) to mitigate the effect of the malicious node. Finally, the convergence property is proven to be guaranteed, and the simulation results validate the effectiveness and efficiency of PACS. View Full-Text
Keywords: security; relay nodes; data falsification; distributed estimation; heterogeneous wireless sensor networks security; relay nodes; data falsification; distributed estimation; heterogeneous wireless sensor networks
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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MDPI and ACS Style

Mi, S.; Han, H.; Chen, C.; Yan, J.; Guan, X. A Secure Scheme for Distributed Consensus Estimation against Data Falsification in Heterogeneous Wireless Sensor Networks. Sensors 2016, 16, 252.

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