基于DS证据理论的协作频谱感知改进方法

doi:10.3969/j.issn.1000-436x.2014.03.019

Abstract

Abstract:

An improved cooperative spectrum sensing scheme based on dempster-shafer evidence theory in cognitive radio networks was proposed.In the local sensing period,the projection approximation algorithm was introduced to reduce bandwidth for cooperation.In the fusion period,credibility was calculated by the distance between evidence vectors of different secondary users and adopted as the weights to combine different local sensing data.The new scheme reduces channel bandwidth and simulation results show that the new scheme improves the performance under the condition of high level conflict.

Key words: cooperative spectrum sensing, data fusion, dempster-shafer theory of evidence, high level conflict

Mei-ting YU,Lin-jing ZHAO,Zhao LI. Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network[J]. Journal on Communications, 2014, 35(3): 168-173.

Figures/Tables 5

References 12

[1]	HAYKIN S . Cognitive radio:brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005,23(2): 201-220.
[2]	YUCEK T , ARSLAN H . A survey of spectrum sensing algorithms for cognitive radio applications[J]. IEEE Communications Surveys and Tutorials, 2009,11(1): 116-130.
[3]	HUSSAIN S , FERNANDO X . Spectrum sensing in cognitive radio networks:up-to-date techniques and future challenges[A]. 2009 IEEE Toronto International Conference Science and Technology for Humanity (TIC-STH)[C]. Toronto,Canada, 2009. 736-741.
[4]	ATAPATTU S , JIANG H . Energy detection based cooperative spectrum sensing in cognitive radio networks[J]. IEEE Transactions on Wireless Communications, 2011,10(4): 1232-1241.
[5]	GANESAN G , LI Y . Cooperative spectrum sensing in cognitive radio,part Ⅱ:multiuser networks[J]. IEEE Transactions on Wireless Communications, 2007,6(6): 2214-2222.
[6]	YU R , ZHANG Y , YI L , et al. Secondary users cooperation in cognitive radio networks:balancing sensing accuracy and efficiency[J]. IEEE Wireless Communications, 2012,19(2): 30-37.
[7]	GANESAN G , LI Y . Cooperative spectrum sensing in cognitive radio networks[J]. Physical Communication, 2011,4(1): 40-62.
[8]	PENG Q H , ZENG K , LI S Q , et al. A distributed spectrum sensing scheme based on credibility and evidence theory in cognitive radio context[A]. The 17th Annual IEEE International Symposium on Personal,Indoor and Mobile Radio Communications (PIMRC'06)[C]. Helsinki,Finland, 2006. 1-5.
[9]	NGUYEN-THANH N , KOO I . An enhanced cooperative spectrum sensing scheme based on evidence theory and reliability source evaluation in cognitive radio context[J]. IEEE Communications Letters, 2009,13(7): 492-494.
[10]	NGUYEN-THANH N , KOO I . Evidence-theory-based cooperative spectrum sensing with efficient quantization method in cognitive radio[J]. IEEE Transactions on Vehicular Technology, 2011,60(1): 185-195.
[11]	JOUSSELME A L , GRENIER D , BOSSE E . A new distance between two bodies of evidence[J]. Information Fusion, 2001,2(2): 91-101.
[12]	MURPHY C K . Combining belief functions when evidence conflicts[J]. Decision Support Systems, 2000,1(29): 1-9.

Metrics

Recommended 0

No Suggested Reading articles found!

方案标号	SU本地感知方法改进	FC融合方法改进
方案1	文献[9]	文献[9]
方案2	投影近似法	文献[9]
方案3	文献[9]	处理高度冲突数据方法
方案4	投影近似法	处理高度冲突数据方法

[1]	Zhijin QIN, Tantan ZHAO, Fan LI, Xiaoming TAO. Survey of research on multimodal semantic communication [J]. Journal on Communications, 2023, 44(5): 28-41.
[2]	Zhiguo SUN, Xinyue REN, Zengmao CHEN, Ming DIAO. Cooperative spectrum sensing method and performance analysis based on similarity between evidences [J]. Journal on Communications, 2020, 41(12): 139-147.
[3]	Yuanhua FU,Zhiming HE. Distance criterion-based quantizer design for cooperative spectrum sensing [J]. Journal on Communications, 2018, 39(9): 49-56.
[4]	Mu ZHOU,Bin WANG,Zeng-shan TIAN,Qian-kun ZHANG. Indoor BLE and MEMS based multi-floor fusion positioning algorithm [J]. Journal on Communications, 2017, 38(5): 1-10.
[5]	Yu-zhuo FANG,Zhi-yong XU,Zhao ZHAO. Near-field localization algorithm of multiple sound sources based on approximated kernel density estimator [J]. Journal on Communications, 2017, 38(1): 106-116.
[6]	Jing-yu FENG,Xu DU,Hong-gang WANG,Wen-hua HUANG. Research on multi-channel routing threats and defense for cognitive ad hoc network [J]. Journal on Communications, 2016, 37(Z1): 92-97.
[7]	Jian ZHOU,Chen-hao MA,Lin-feng LIU,Li-juan SUN,Fu XIAO. Multi-sensor data fusion method for water quality evaluation based on interval evidence theory [J]. Journal on Communications, 2016, 37(9): 20-29.
[8]	Tao WEN,Yu-qing ZHANG,Qi-xu LIU,Gang YANG. UVDA:design and implementation of automation fusion framework of heterogeneous security vulnerability database [J]. Journal on Communications, 2015, 36(10): 235-244.
[9]	. Cooperative spectrum sensing scheme based on crowd trust and decision-making mechanism [J]. Journal on Communications, 2014, 35(3): 11-108.
[10]	. Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network [J]. Journal on Communications, 2014, 35(3): 19-173.
[11]	Xiao-mao WANG,Chuan-he HUANG,Yi-long LV,Bin WANG,Xi-ying FAN,Hao ZHOU. Cooperative spectrum sensing scheme based on crowd trust and decision-making mechanism [J]. Journal on Communications, 2014, 35(3): 94-108.
[12]	Mei-ling LI. Performance analysis and optimization of cooperative spectrum sensing with relay [J]. Journal on Communications, 2013, 34(9): 33-40.
[13]	Ming JIN,You-ming LI,Yang GAO. Cooperative spectrum sensing detector based on generalized eigenvalue [J]. Journal on Communications, 2013, 34(1): 105-110.
[14]	Jian SU,Guo-qin NING,Feng QING. Research on a cooperative spectrum sensing algorithm based on energy-constraint [J]. Journal on Communications, 2012, 33(Z2): 256-261.
[15]	Jun YUE,Wei-ming ZHANG,Wei-dong XIAO,Da-quan TANG,Jiu-yang TANG. Structure-free and dynamic-adaptive data fusion algorithm for wireless sensor networks [J]. Journal on Communications, 2012, 33(9): 53-65.

Improved cooperative spectrum sensing scheme based on dempster-shafer theory in cognitive radio network

RichHTML

PDF

Knowledge

Cited

Abstract

Cite this article

share this article

Figures/Tables 5

References 12

Related Articles 15

Metrics

Recommended 0