Adaptive Multicriteria Thresholding for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Smart Grid Networks under Shadowing Effect
Cognitive radio is expected to be implemented in smart grids since it presents high reliability, high accuracy and low transmission time by utilizing licensed bands opportunistically. Shadowing environment affects the performance of channel availability detection of local spectrum sensing since it o...
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Format: | Article |
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MDPI AG
2021-04-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/14/8/2259 |
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author | Kanabadee Srisomboon Yutthna Sroulsrun Wilaiporn Lee |
author_facet | Kanabadee Srisomboon Yutthna Sroulsrun Wilaiporn Lee |
author_sort | Kanabadee Srisomboon |
collection | DOAJ |
description | Cognitive radio is expected to be implemented in smart grids since it presents high reliability, high accuracy and low transmission time by utilizing licensed bands opportunistically. Shadowing environment affects the performance of channel availability detection of local spectrum sensing since it occurs occasionally. Therefore, the cooperative spectrum sensing is encouraged to be used for addressing shadowing issues. The principle cooperative spectrum sensing techniques suffer from unreliable local information from secondary users (SUs) who are encountered by the shadowing effect. Then, several alternative methods, adaptive majority rule and improved weight algorithm (IMA) is proposed by taking the SUs reliability into account. However, the unreliable SUs are still considered according to the algorithm. Therefore, in this paper, we propose an adaptive multi-criteria thresholding (AMT) to determine the channel availability according to the SUs reliability. The main contribution of AMT is three-fold. First, the new reliable weight calculation is proposed by utilizing analytic hierarchy process (AHP) under three major criteria. Second, AMT is flexible to the number of SUs since it adapts the decision weight on the optimal number of SUs according to the reliable SUs. Third, the shadowing issue is addressed by taking only reliable SUs into account. |
first_indexed | 2024-03-10T12:14:52Z |
format | Article |
id | doaj.art-d741b71e98484429b2a9c20e405bfa02 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-10T12:14:52Z |
publishDate | 2021-04-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-d741b71e98484429b2a9c20e405bfa022023-11-21T15:59:23ZengMDPI AGEnergies1996-10732021-04-01148225910.3390/en14082259Adaptive Multicriteria Thresholding for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Smart Grid Networks under Shadowing EffectKanabadee Srisomboon0Yutthna Sroulsrun1Wilaiporn Lee2Department of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, ThailandDepartment of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, ThailandDepartment of Electrical and Computer Engineering, Faculty of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok 10800, ThailandCognitive radio is expected to be implemented in smart grids since it presents high reliability, high accuracy and low transmission time by utilizing licensed bands opportunistically. Shadowing environment affects the performance of channel availability detection of local spectrum sensing since it occurs occasionally. Therefore, the cooperative spectrum sensing is encouraged to be used for addressing shadowing issues. The principle cooperative spectrum sensing techniques suffer from unreliable local information from secondary users (SUs) who are encountered by the shadowing effect. Then, several alternative methods, adaptive majority rule and improved weight algorithm (IMA) is proposed by taking the SUs reliability into account. However, the unreliable SUs are still considered according to the algorithm. Therefore, in this paper, we propose an adaptive multi-criteria thresholding (AMT) to determine the channel availability according to the SUs reliability. The main contribution of AMT is three-fold. First, the new reliable weight calculation is proposed by utilizing analytic hierarchy process (AHP) under three major criteria. Second, AMT is flexible to the number of SUs since it adapts the decision weight on the optimal number of SUs according to the reliable SUs. Third, the shadowing issue is addressed by taking only reliable SUs into account.https://www.mdpi.com/1996-1073/14/8/2259cooperative spectrum sensingfusion ruleAHPshadowingsmart grid |
spellingShingle | Kanabadee Srisomboon Yutthna Sroulsrun Wilaiporn Lee Adaptive Multicriteria Thresholding for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Smart Grid Networks under Shadowing Effect Energies cooperative spectrum sensing fusion rule AHP shadowing smart grid |
title | Adaptive Multicriteria Thresholding for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Smart Grid Networks under Shadowing Effect |
title_full | Adaptive Multicriteria Thresholding for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Smart Grid Networks under Shadowing Effect |
title_fullStr | Adaptive Multicriteria Thresholding for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Smart Grid Networks under Shadowing Effect |
title_full_unstemmed | Adaptive Multicriteria Thresholding for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Smart Grid Networks under Shadowing Effect |
title_short | Adaptive Multicriteria Thresholding for Cooperative Spectrum Sensing in Cognitive Radio Ad Hoc Smart Grid Networks under Shadowing Effect |
title_sort | adaptive multicriteria thresholding for cooperative spectrum sensing in cognitive radio ad hoc smart grid networks under shadowing effect |
topic | cooperative spectrum sensing fusion rule AHP shadowing smart grid |
url | https://www.mdpi.com/1996-1073/14/8/2259 |
work_keys_str_mv | AT kanabadeesrisomboon adaptivemulticriteriathresholdingforcooperativespectrumsensingincognitiveradioadhocsmartgridnetworksundershadowingeffect AT yutthnasroulsrun adaptivemulticriteriathresholdingforcooperativespectrumsensingincognitiveradioadhocsmartgridnetworksundershadowingeffect AT wilaipornlee adaptivemulticriteriathresholdingforcooperativespectrumsensingincognitiveradioadhocsmartgridnetworksundershadowingeffect |