Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/69097
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Type: Conference paper
Title: Consensus-based distributed detection with mitigating outliers for wireless sensor networks
Author: Choi, J.
Lee, H.
Lim, C.
Citation: Proceedings of the 7th International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP 2011), held in Adelaide, Australia, December 6-9 2011: pp.479-484
Publisher: IEEE
Publisher Place: CD
Issue Date: 2011
ISBN: 9781457706738
Conference Name: Intelligent Sensors, Sensor Networks and Information Processing (7th : 2011 : Adelaide, Australia)
Statement of
Responsibility: 
Jinho Choi, Hyukjin Lee and Cheng-Chew Lim
Abstract: In wireless sensor networks, intruders can manipulate some sensors' observations locally, which results in outliers in distributed detection. These outliers can be detected and removed by a fusion centre as all the sensors' observations are available. For wireless sensor networks without a fusion centre, however, the detection performance can be significantly degraded as distributed consensus algorithms are vulnerable to outliers. In this paper, we consider the outlier detection for wireless sensor networks without a fusion centre when a distributed consensus algorithm is employed for distributed detection. 1 © 2011 IEEE.
Rights: Copyright status unknown
DOI: 10.1109/ISSNIP.2011.6146573
Description (link): http://www.issnip.org/~issnip2011/index.htm
Published version: http://dx.doi.org/10.1109/issnip.2011.6146573
Appears in Collections:Aurora harvest 5
Electrical and Electronic Engineering publications

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