Presentation 2009-03-09
Cooperative Spectrum Sensing Techniques Using Decision Comparison for Cognitive Radio Systems Including Malicious Nodes
Toru SAKAGUCHI, Tomoaki OHTSUKI,
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Abstract(in English) We consider cooperative spectrum sensing based on energy detection. The performance of cooperative spectrum sensing is largely degraded if there are some malfunctioning sensing devices. As methods to mitigate the effects of malicious nodes on cooperative spectrum sensing, pre-filtering and weighting of the sensing data are shown to be effective. As malicious nodes, three types of the nodes that regularly produce false values far above or below the threshold have been considered. However, anything other than the three kinds of malicious nodes has not been considered. In this report, we present techniques to identify not only malicious nodes that give false values far above or below the threshold but also malicious nodes that give false values slightly above or below the threshold or random false values, and to mitigate their harmful effects on the cooperative spectrum sensing. By results of simulations, we show that the algorithm proposed by us can identify all those malicious nodes, and can mitigate their harmful effects.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Cognitive Radio / Cooperative Spectrum Sensing / Energy Detection / Malicious Node
Paper # IT2008-73,ISEC2008-131,WBS2008-86
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Committee WBS
Conference Date 2009/3/2(1days)
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Registration To Wideband System(WBS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Cooperative Spectrum Sensing Techniques Using Decision Comparison for Cognitive Radio Systems Including Malicious Nodes
Sub Title (in English)
Keyword(1) Cognitive Radio
Keyword(2) Cooperative Spectrum Sensing
Keyword(3) Energy Detection
Keyword(4) Malicious Node
1st Author's Name Toru SAKAGUCHI
1st Author's Affiliation Graduate School of Science and Technology, Keio University()
2nd Author's Name Tomoaki OHTSUKI
2nd Author's Affiliation Faculty of Science and Technology, Keio University
Date 2009-03-09
Paper # IT2008-73,ISEC2008-131,WBS2008-86
Volume (vol) vol.108
Number (no) 474
Page pp.pp.-
#Pages 8
Date of Issue