Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks

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 ra...

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Main Authors: Yan, Yongsheng, Wang, Haiyan, Shen, Xiaohong, Zhong, Xionghu
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2016
Subjects:
Online Access:https://hdl.handle.net/10356/81864
http://hdl.handle.net/10220/39684
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author Yan, Yongsheng
Wang, Haiyan
Shen, Xiaohong
Zhong, Xionghu
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Yan, Yongsheng
Wang, Haiyan
Shen, Xiaohong
Zhong, Xionghu
author_sort Yan, Yongsheng
collection NTU
description 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.
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spelling ntu-10356/818642022-02-16T16:26:24Z Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks Yan, Yongsheng Wang, Haiyan Shen, Xiaohong Zhong, Xionghu School of Electrical and Electronic Engineering decision fusion; channel errors; average bit error rate; likelihood ratio test; decode-then-fuse; sensor networks 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. Published version 2016-01-13T02:58:51Z 2019-12-06T14:41:52Z 2016-01-13T02:58:51Z 2019-12-06T14:41:52Z 2015 Journal Article 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. 1424-8220 https://hdl.handle.net/10356/81864 http://hdl.handle.net/10220/39684 10.3390/s150819157 26251908 en Sensors © 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/). 24 p. application/pdf
spellingShingle decision fusion; channel errors; average bit error rate; likelihood ratio test; decode-then-fuse; sensor networks
Yan, Yongsheng
Wang, Haiyan
Shen, Xiaohong
Zhong, Xionghu
Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks
title Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks
title_full Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks
title_fullStr Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks
title_full_unstemmed Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks
title_short Decision Fusion with Channel Errors in Distributed Decode-Then-Fuse Sensor Networks
title_sort decision fusion with channel errors in distributed decode then fuse sensor networks
topic decision fusion; channel errors; average bit error rate; likelihood ratio test; decode-then-fuse; sensor networks
url https://hdl.handle.net/10356/81864
http://hdl.handle.net/10220/39684
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