Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks

Victor Wen-Kai Cheng; Tsang-Yi Wang

doi:doi:10.11648/j.ijics.20210602.12

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Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks

Victor Wen-Kai Cheng, Tsang-Yi Wang

Published in International Journal of Information and Communication Sciences (Volume 6, Issue 2)

Received: 13 March 2021 Accepted: 30 March 2021 Published: 7 May 2021

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Abstract

Multi-level decisions on sensor detection is able to improve the detection performance on the final decision made at the fusion center (FC) in wireless sensor networks (WSN). In this paper, the performance analysis of an M-ary signaling (MS) scheme using analog transmission and a k-bit transmission (KB) scheme is both examined for distributed binary detection. Under the multi-level decision algorithms, each sensor sends a signal carrying the information of a quantized version of a local decision statistic such as the conditional mean or the log-likelihood ratio. In MS, the output of the quantizer is transmitted directly without digitalizing and coding process, while in KB, each quantization output is coded with k bits and hereby a sensor sends a k-bit hard local decision to the FC. At the FC, the linear combiner detection rule on the transmission schemes is both adopted to make the final decision. The effects of the sensor decision and the transmission errors are incorporated in the analysis of the erroneous performance of the final decision. The goal of the proposed schemes is to minimize the final errors at the FC via optimizing the region allocation on the multi-level decision at the sensor. The numerical results illustrate that the proposed schemes achieve significant improvement in error performance over the conventional schemes under either additive white Gaussian noise (AWGN) channel or Rayleigh faded channel.

Published in	International Journal of Information and Communication Sciences (Volume 6, Issue 2)
DOI	10.11648/j.ijics.20210602.12
Page(s)	30-37
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2021. Published by Science Publishing Group

Keywords

Distributed Detection, Multi-level Decision Fusion, Wireless Sensor Networks

References

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APA Style

Victor Wen-Kai Cheng, Tsang-Yi Wang. (2021). Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks. International Journal of Information and Communication Sciences, 6(2), 30-37. https://doi.org/10.11648/j.ijics.20210602.12

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ACS Style

Victor Wen-Kai Cheng; Tsang-Yi Wang. Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks. Int. J. Inf. Commun. Sci. 2021, 6(2), 30-37. doi: 10.11648/j.ijics.20210602.12

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AMA Style

Victor Wen-Kai Cheng, Tsang-Yi Wang. Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks. Int J Inf Commun Sci. 2021;6(2):30-37. doi: 10.11648/j.ijics.20210602.12

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@article{10.11648/j.ijics.20210602.12,
  author = {Victor Wen-Kai Cheng and Tsang-Yi Wang},
  title = {Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks},
  journal = {International Journal of Information and Communication Sciences},
  volume = {6},
  number = {2},
  pages = {30-37},
  doi = {10.11648/j.ijics.20210602.12},
  url = {https://doi.org/10.11648/j.ijics.20210602.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijics.20210602.12},
  abstract = {Multi-level decisions on sensor detection is able to improve the detection performance on the final decision made at the fusion center (FC) in wireless sensor networks (WSN). In this paper, the performance analysis of an M-ary signaling (MS) scheme using analog transmission and a k-bit transmission (KB) scheme is both examined for distributed binary detection. Under the multi-level decision algorithms, each sensor sends a signal carrying the information of a quantized version of a local decision statistic such as the conditional mean or the log-likelihood ratio. In MS, the output of the quantizer is transmitted directly without digitalizing and coding process, while in KB, each quantization output is coded with k bits and hereby a sensor sends a k-bit hard local decision to the FC. At the FC, the linear combiner detection rule on the transmission schemes is both adopted to make the final decision. The effects of the sensor decision and the transmission errors are incorporated in the analysis of the erroneous performance of the final decision. The goal of the proposed schemes is to minimize the final errors at the FC via optimizing the region allocation on the multi-level decision at the sensor. The numerical results illustrate that the proposed schemes achieve significant improvement in error performance over the conventional schemes under either additive white Gaussian noise (AWGN) channel or Rayleigh faded channel.},
 year = {2021}
}

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TY  - JOUR
T1  - Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks
AU  - Victor Wen-Kai Cheng
AU  - Tsang-Yi Wang
Y1  - 2021/05/07
PY  - 2021
N1  - https://doi.org/10.11648/j.ijics.20210602.12
DO  - 10.11648/j.ijics.20210602.12
T2  - International Journal of Information and Communication Sciences
JF  - International Journal of Information and Communication Sciences
JO  - International Journal of Information and Communication Sciences
SP  - 30
EP  - 37
PB  - Science Publishing Group
SN  - 2575-1719
UR  - https://doi.org/10.11648/j.ijics.20210602.12
AB  - Multi-level decisions on sensor detection is able to improve the detection performance on the final decision made at the fusion center (FC) in wireless sensor networks (WSN). In this paper, the performance analysis of an M-ary signaling (MS) scheme using analog transmission and a k-bit transmission (KB) scheme is both examined for distributed binary detection. Under the multi-level decision algorithms, each sensor sends a signal carrying the information of a quantized version of a local decision statistic such as the conditional mean or the log-likelihood ratio. In MS, the output of the quantizer is transmitted directly without digitalizing and coding process, while in KB, each quantization output is coded with k bits and hereby a sensor sends a k-bit hard local decision to the FC. At the FC, the linear combiner detection rule on the transmission schemes is both adopted to make the final decision. The effects of the sensor decision and the transmission errors are incorporated in the analysis of the erroneous performance of the final decision. The goal of the proposed schemes is to minimize the final errors at the FC via optimizing the region allocation on the multi-level decision at the sensor. The numerical results illustrate that the proposed schemes achieve significant improvement in error performance over the conventional schemes under either additive white Gaussian noise (AWGN) channel or Rayleigh faded channel.
VL  - 6
IS  - 2
ER  -

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Author Information

Victor Wen-Kai Cheng

Department of Computer Science and Information Engineering, National Chi Nan University, Nantou, Taiwan
Tsang-Yi Wang

Graduate Institute and Communication Engineering, National Sun Yat-Sen University, Kaohsiung, Taiwan

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APA Style

Victor Wen-Kai Cheng, Tsang-Yi Wang. (2021). Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks. International Journal of Information and Communication Sciences, 6(2), 30-37. https://doi.org/10.11648/j.ijics.20210602.12

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ACS Style

Victor Wen-Kai Cheng; Tsang-Yi Wang. Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks. Int. J. Inf. Commun. Sci. 2021, 6(2), 30-37. doi: 10.11648/j.ijics.20210602.12

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AMA Style

Victor Wen-Kai Cheng, Tsang-Yi Wang. Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks. Int J Inf Commun Sci. 2021;6(2):30-37. doi: 10.11648/j.ijics.20210602.12

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@article{10.11648/j.ijics.20210602.12,
  author = {Victor Wen-Kai Cheng and Tsang-Yi Wang},
  title = {Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks},
  journal = {International Journal of Information and Communication Sciences},
  volume = {6},
  number = {2},
  pages = {30-37},
  doi = {10.11648/j.ijics.20210602.12},
  url = {https://doi.org/10.11648/j.ijics.20210602.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijics.20210602.12},
  abstract = {Multi-level decisions on sensor detection is able to improve the detection performance on the final decision made at the fusion center (FC) in wireless sensor networks (WSN). In this paper, the performance analysis of an M-ary signaling (MS) scheme using analog transmission and a k-bit transmission (KB) scheme is both examined for distributed binary detection. Under the multi-level decision algorithms, each sensor sends a signal carrying the information of a quantized version of a local decision statistic such as the conditional mean or the log-likelihood ratio. In MS, the output of the quantizer is transmitted directly without digitalizing and coding process, while in KB, each quantization output is coded with k bits and hereby a sensor sends a k-bit hard local decision to the FC. At the FC, the linear combiner detection rule on the transmission schemes is both adopted to make the final decision. The effects of the sensor decision and the transmission errors are incorporated in the analysis of the erroneous performance of the final decision. The goal of the proposed schemes is to minimize the final errors at the FC via optimizing the region allocation on the multi-level decision at the sensor. The numerical results illustrate that the proposed schemes achieve significant improvement in error performance over the conventional schemes under either additive white Gaussian noise (AWGN) channel or Rayleigh faded channel.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - Distributed Decision Fusion with M-ary Signaling and k-bit Transmission on Sensor Observation in Wireless Sensor Networks
AU  - Victor Wen-Kai Cheng
AU  - Tsang-Yi Wang
Y1  - 2021/05/07
PY  - 2021
N1  - https://doi.org/10.11648/j.ijics.20210602.12
DO  - 10.11648/j.ijics.20210602.12
T2  - International Journal of Information and Communication Sciences
JF  - International Journal of Information and Communication Sciences
JO  - International Journal of Information and Communication Sciences
SP  - 30
EP  - 37
PB  - Science Publishing Group
SN  - 2575-1719
UR  - https://doi.org/10.11648/j.ijics.20210602.12
AB  - Multi-level decisions on sensor detection is able to improve the detection performance on the final decision made at the fusion center (FC) in wireless sensor networks (WSN). In this paper, the performance analysis of an M-ary signaling (MS) scheme using analog transmission and a k-bit transmission (KB) scheme is both examined for distributed binary detection. Under the multi-level decision algorithms, each sensor sends a signal carrying the information of a quantized version of a local decision statistic such as the conditional mean or the log-likelihood ratio. In MS, the output of the quantizer is transmitted directly without digitalizing and coding process, while in KB, each quantization output is coded with k bits and hereby a sensor sends a k-bit hard local decision to the FC. At the FC, the linear combiner detection rule on the transmission schemes is both adopted to make the final decision. The effects of the sensor decision and the transmission errors are incorporated in the analysis of the erroneous performance of the final decision. The goal of the proposed schemes is to minimize the final errors at the FC via optimizing the region allocation on the multi-level decision at the sensor. The numerical results illustrate that the proposed schemes achieve significant improvement in error performance over the conventional schemes under either additive white Gaussian noise (AWGN) channel or Rayleigh faded channel.
VL  - 6
IS  - 2
ER  -

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