Dynamically optimized spatiotemporal prioritization for spectrum sensing in cooperative cognitive radio.

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Title: Dynamically optimized spatiotemporal prioritization for spectrum sensing in cooperative cognitive radio.
Authors: Xiao Wang1 x18wang@engmail.uwaterloo.ca, Wong, Alexander2 a28wong@engmail.uwaterloo.ca, Pin-Han Ho1 pinhan@bbcr.uwaterloo.ca
Source: Wireless Networks (10220038). May2010, Vol. 16 Issue 4, p889-901. 13p. 7 Graphs.
Subjects: Spectrum analysis, Radio frequency, Access control, Security systems, Computer security, Algorithms, Filtering software
Abstract: In this paper, an enhanced cooperative, statistics-driven spectrum sensing algorithm, called Dynamically Optimized Spatiotemporal Prioritization (DOSP), is developed for improving spectrum sensing efficiency in the media access control (MAC) layer of cognitive radio (CR) systems. The target of the DOSP algorithm is to improve spectrum sensing efficiency and achieve better spectrum access opportunities by prioritizing channels for fine sensing. The sensing priority is determined dynamically and intelligently based on an optimal statistical fusion that jointly considers both the local statistics obtained by the individual cognitive radios as well as the long-term spatiotemporal statistics obtained by other cognitive radios in the network. As such, the individual cognitive radio peers work together to get the most out of available spectrum opportunities. Numerical results demonstrate that the proposed DOSP algorithm is capable of achieving better performance compared with recently reported cooperative spectrum sensing methods in terms of overhead and percentage of missed spectrum opportunities. Furthermore, results show that the DOSP algorithm is more robust to the environment of low cognitive radio densities than that by using other state-of-the-art cooperative spectrum sensing methods. [ABSTRACT FROM AUTHOR]
Copyright of Wireless Networks (10220038) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Dynamically optimized spatiotemporal prioritization for spectrum sensing in cooperative cognitive radio.
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  Data: <searchLink fieldCode="AR" term="%22Xiao+Wang%22">Xiao Wang</searchLink><relatesTo>1</relatesTo><i> x18wang@engmail.uwaterloo.ca</i><br /><searchLink fieldCode="AR" term="%22Wong%2C+Alexander%22">Wong, Alexander</searchLink><relatesTo>2</relatesTo><i> a28wong@engmail.uwaterloo.ca</i><br /><searchLink fieldCode="AR" term="%22Pin-Han+Ho%22">Pin-Han Ho</searchLink><relatesTo>1</relatesTo><i> pinhan@bbcr.uwaterloo.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22Wireless+Networks+%2810220038%29%22">Wireless Networks (10220038)</searchLink>. May2010, Vol. 16 Issue 4, p889-901. 13p. 7 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22Spectrum+analysis%22">Spectrum analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Radio+frequency%22">Radio frequency</searchLink><br /><searchLink fieldCode="DE" term="%22Access+control%22">Access control</searchLink><br /><searchLink fieldCode="DE" term="%22Security+systems%22">Security systems</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+security%22">Computer security</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Filtering+software%22">Filtering software</searchLink>
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  Data: In this paper, an enhanced cooperative, statistics-driven spectrum sensing algorithm, called Dynamically Optimized Spatiotemporal Prioritization (DOSP), is developed for improving spectrum sensing efficiency in the media access control (MAC) layer of cognitive radio (CR) systems. The target of the DOSP algorithm is to improve spectrum sensing efficiency and achieve better spectrum access opportunities by prioritizing channels for fine sensing. The sensing priority is determined dynamically and intelligently based on an optimal statistical fusion that jointly considers both the local statistics obtained by the individual cognitive radios as well as the long-term spatiotemporal statistics obtained by other cognitive radios in the network. As such, the individual cognitive radio peers work together to get the most out of available spectrum opportunities. Numerical results demonstrate that the proposed DOSP algorithm is capable of achieving better performance compared with recently reported cooperative spectrum sensing methods in terms of overhead and percentage of missed spectrum opportunities. Furthermore, results show that the DOSP algorithm is more robust to the environment of low cognitive radio densities than that by using other state-of-the-art cooperative spectrum sensing methods. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Wireless Networks (10220038) is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s11276-009-0175-0
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      – SubjectFull: Access control
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      – TitleFull: Dynamically optimized spatiotemporal prioritization for spectrum sensing in cooperative cognitive radio.
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              Text: May2010
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