SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless Networks
Industrial wireless networks (IWNs) are characteristically different from traditional wireless systems due to harsh radio frequency (RF) environments and applications that impose high real-time and reliability constraints. One of the promising technologies for enabling IWNs is the cognitive radio. T...
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doaj-99673b0d87504d80a7fdb3cdd8d9d6522021-03-29T19:48:22ZengIEEEIEEE Access2169-35362016-01-0149308931910.1109/ACCESS.2016.26414717790840SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless NetworksMeng Zheng0https://orcid.org/0000-0003-1674-8577Wei Liang1Haibin Yu2Min Song3State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, ChinaState Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, ChinaState Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, ChinaCollege of Information, Shenyang Institute of Engineering, Shenyang, ChinaIndustrial wireless networks (IWNs) are characteristically different from traditional wireless systems due to harsh radio frequency (RF) environments and applications that impose high real-time and reliability constraints. One of the promising technologies for enabling IWNs is the cognitive radio. This paper designs a novel subcarrier modulation-based cooperative spectrum sensing (SMCSS) scheme for cognitive industrial wireless networks (CIWNs). Based on the orthogonal frequency division multiplexing physical layer, the local decisions are sent to the fusion center orthogonally in the frequency domain via physical layer signaling with binary amplitude shift keying symbols, which significantly reduces the reporting delay of the SMCSS. Furthermore, a two-level decision fusion method is proposed to cope with the harsh control channel that suffers from strong Gaussian noise and Rayleigh fading. Sensing parameters of the two-level decision fusion are optimized for minimizing the total sensing error rate of CIWNs. Finally, a reputation updating mechanism is combined with the SMCSS to improve its robustness against unreliable subcarriers due to RF hostile industrial environments.https://ieeexplore.ieee.org/document/7790840/Industrial wireless networkscognitive radiospectrum sensingdecision fusiontotal sensing error rate |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Meng Zheng Wei Liang Haibin Yu Min Song |
spellingShingle |
Meng Zheng Wei Liang Haibin Yu Min Song SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless Networks IEEE Access Industrial wireless networks cognitive radio spectrum sensing decision fusion total sensing error rate |
author_facet |
Meng Zheng Wei Liang Haibin Yu Min Song |
author_sort |
Meng Zheng |
title |
SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless Networks |
title_short |
SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless Networks |
title_full |
SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless Networks |
title_fullStr |
SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless Networks |
title_full_unstemmed |
SMCSS: A Quick and Reliable Cooperative Spectrum Sensing Scheme for Cognitive Industrial Wireless Networks |
title_sort |
smcss: a quick and reliable cooperative spectrum sensing scheme for cognitive industrial wireless networks |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2016-01-01 |
description |
Industrial wireless networks (IWNs) are characteristically different from traditional wireless systems due to harsh radio frequency (RF) environments and applications that impose high real-time and reliability constraints. One of the promising technologies for enabling IWNs is the cognitive radio. This paper designs a novel subcarrier modulation-based cooperative spectrum sensing (SMCSS) scheme for cognitive industrial wireless networks (CIWNs). Based on the orthogonal frequency division multiplexing physical layer, the local decisions are sent to the fusion center orthogonally in the frequency domain via physical layer signaling with binary amplitude shift keying symbols, which significantly reduces the reporting delay of the SMCSS. Furthermore, a two-level decision fusion method is proposed to cope with the harsh control channel that suffers from strong Gaussian noise and Rayleigh fading. Sensing parameters of the two-level decision fusion are optimized for minimizing the total sensing error rate of CIWNs. Finally, a reputation updating mechanism is combined with the SMCSS to improve its robustness against unreliable subcarriers due to RF hostile industrial environments. |
topic |
Industrial wireless networks cognitive radio spectrum sensing decision fusion total sensing error rate |
url |
https://ieeexplore.ieee.org/document/7790840/ |
work_keys_str_mv |
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