A Cooperative Spectrum Sensing Scheme Based on Trust and Fuzzy Logic for Cognitive Radio Sensor Networks
This paper proposes a cooperative spectrum sensing scheme based on trust and fuzzy logic for Cognitive Radio Sensor Networks (CRSN). The CRSN nodes use the T-S fuzzy logic to make local decisions on the presence or absence of the primary users (PU) signal, and then use a censoring method to only allow the relatively reliable decisions sent to the fusion center. Utilizing a trust evaluation scheme based on the factors such as local sensing difference, sensing location factors, and sensing channel conditions for each node. Combing the majority rule and the trust values of the nodes, the fusion center makes the final decision. Simulation results show that the proposed scheme could improve the detect probability effectively.
Keywords: Cognitive Radio Sensor Networks, trust, fuzzy logic, Cooperative Spectrum Sensing.
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ABOUT THE AUTHORS
Yonghua Wang
Yonghua Wang has received his B.S. degree in Electrical Engineering and Automation from Hebei University of Technology in 2001, the M.S. degree in Control Theory and Control Engineering from Guangdong University of Technology in 2006, and Ph. D degree in Communication and Information System from Sun Yat-sen University in 2009.Currently he is a lecturer in school of automation in Guangdong University of Technology since 2009. His current research interests include cognitive networks, RFID, etc.
Yuehong Li
Yuehong Li has received his B.S. degree in Electrical Engineering and Automation from Hangzhou Dianzi University in 2010.He is now working towards his M.S. degree in Control Theory and Engineering at Guangdong University of Technology.
Fei Yuan
Fei Yuan has received his B.S.degree in Communication Engineering and M.S. degree in Control Theory and Control Engineering from Guangdong University of Technology in 2007,2010 respectively. He is now working towards his Ph.D. degree in Communication and Information system at Sun Yat-sen University. His research interests include wireless networks,data mining, etc.
Jian Yang
Jian Yang has received his B.S. and M.S. degree in Biomedical Engineering from Northeastern University in 2003,2006 respectively. He has received Ph. D degree in Communication and Information system from Sun Yat-sen University in 2009. Currently he is a lecturer in school of automation in Guangdong University of Technology since 2009. His research interests include RFID,wireless communications etc.
Yonghua Wang
Yonghua Wang has received his B.S. degree in Electrical Engineering and Automation from Hebei University of Technology in 2001, the M.S. degree in Control Theory and Control Engineering from Guangdong University of Technology in 2006, and Ph. D degree in Communication and Information System from Sun Yat-sen University in 2009.Currently he is a lecturer in school of automation in Guangdong University of Technology since 2009. His current research interests include cognitive networks, RFID, etc.
Yuehong Li
Yuehong Li has received his B.S. degree in Electrical Engineering and Automation from Hangzhou Dianzi University in 2010.He is now working towards his M.S. degree in Control Theory and Engineering at Guangdong University of Technology.
Fei Yuan
Fei Yuan has received his B.S.degree in Communication Engineering and M.S. degree in Control Theory and Control Engineering from Guangdong University of Technology in 2007,2010 respectively. He is now working towards his Ph.D. degree in Communication and Information system at Sun Yat-sen University. His research interests include wireless networks,data mining, etc.
Jian Yang
Jian Yang has received his B.S. and M.S. degree in Biomedical Engineering from Northeastern University in 2003,2006 respectively. He has received Ph. D degree in Communication and Information system from Sun Yat-sen University in 2009. Currently he is a lecturer in school of automation in Guangdong University of Technology since 2009. His research interests include RFID,wireless communications etc.
