Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio
We propose the data mining-informed cognitive radio, which uses non-traditional data sources and data-mining techniques for decision making and improving the performance of a wireless network. To date, the application of information other than wireless channel data in cognitive radios has not been s...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
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MDPI AG
2015-03-01
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Series: | Electronics |
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Online Access: | http://www.mdpi.com/2079-9292/4/2/221 |
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author | Khashayar Kotobi Philip B. Mainwaring Conrad S. Tucker Sven G. Bilén |
author_facet | Khashayar Kotobi Philip B. Mainwaring Conrad S. Tucker Sven G. Bilén |
author_sort | Khashayar Kotobi |
collection | DOAJ |
description | We propose the data mining-informed cognitive radio, which uses non-traditional data sources and data-mining techniques for decision making and improving the performance of a wireless network. To date, the application of information other than wireless channel data in cognitive radios has not been significantly studied. We use a novel dataset (Twitter traffic) as an indicator of network load in a wireless channel. Using this dataset, we present and test a series of predictive algorithms that show an improvement in wireless channel utilization over traditional collision-detection algorithms. Our results demonstrate the viability of using these novel datasets to inform and create more efficient cognitive radio networks. |
first_indexed | 2024-04-11T22:16:06Z |
format | Article |
id | doaj.art-1dab9f22e50a4d659410abe196063d4c |
institution | Directory Open Access Journal |
issn | 2079-9292 |
language | English |
last_indexed | 2024-04-11T22:16:06Z |
publishDate | 2015-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Electronics |
spelling | doaj.art-1dab9f22e50a4d659410abe196063d4c2022-12-22T04:00:23ZengMDPI AGElectronics2079-92922015-03-014222123810.3390/electronics4020221electronics4020221Data-Throughput Enhancement Using Data Mining-Informed Cognitive RadioKhashayar Kotobi0Philip B. Mainwaring1Conrad S. Tucker2Sven G. Bilén3Department of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USADepartment of Aerospace Engineering, The Pennsylvania State University, University Park, PA 16802, USASchool of Engineering Design, Technology, and Professional Programs, The Pennsylvania State University, University Park, PA 16802, USADepartment of Electrical Engineering, The Pennsylvania State University, University Park, PA 16802, USAWe propose the data mining-informed cognitive radio, which uses non-traditional data sources and data-mining techniques for decision making and improving the performance of a wireless network. To date, the application of information other than wireless channel data in cognitive radios has not been significantly studied. We use a novel dataset (Twitter traffic) as an indicator of network load in a wireless channel. Using this dataset, we present and test a series of predictive algorithms that show an improvement in wireless channel utilization over traditional collision-detection algorithms. Our results demonstrate the viability of using these novel datasets to inform and create more efficient cognitive radio networks.http://www.mdpi.com/2079-9292/4/2/221cognitive radio networkbig data applicationsdata miningwireless communicationdata mining-informed cognitive radio |
spellingShingle | Khashayar Kotobi Philip B. Mainwaring Conrad S. Tucker Sven G. Bilén Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio Electronics cognitive radio network big data applications data mining wireless communication data mining-informed cognitive radio |
title | Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio |
title_full | Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio |
title_fullStr | Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio |
title_full_unstemmed | Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio |
title_short | Data-Throughput Enhancement Using Data Mining-Informed Cognitive Radio |
title_sort | data throughput enhancement using data mining informed cognitive radio |
topic | cognitive radio network big data applications data mining wireless communication data mining-informed cognitive radio |
url | http://www.mdpi.com/2079-9292/4/2/221 |
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