Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/81864
Title: Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks
Authors: Yan, Yongsheng
Wang, Haiyan
Shen, Xiaohong
Zhong, Xionghu
Keywords: decision fusion; channel errors; average bit error rate; likelihood ratio test; decode-then-fuse; sensor networks
Issue Date: 2015
Source: Yan, Y., Wang, H., Shen, X., & Zhong, X. (2015). Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks. Sensors, 15(8), 19157-19180.
Series/Report no.: Sensors
Abstract: Decision fusion for distributed detection in sensor networks under non-ideal channels is investigated in this paper. Usually, the local decisions are transmitted to the fusion center (FC) and decoded, and a fusion rule is then applied to achieve a global decision. We propose an optimal likelihood ratio test (LRT)-based fusion rule to take the uncertainty of the decoded binary data due to modulation, reception mode and communication channel into account. The average bit error rate (BER) is employed to characterize such an uncertainty. Further, the detection performance is analyzed under both non-identical and identical local detection performance indices. In addition, the performance of the proposed method is compared with the existing optimal and suboptimal LRT fusion rules. The results show that the proposed fusion rule is more robust compared to these existing ones.
URI: https://hdl.handle.net/10356/81864
http://hdl.handle.net/10220/39684
ISSN: 1424-8220
DOI: 10.3390/s150819157
Rights: © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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