On Energy Efficient Cooperative Spectrum Sensing Using Possibilistic Fuzzy C-Means Clustering

Anal Paul; Santi P. Maity

doi:10.1007/978-981-10-6427-2_31

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On Energy Efficient Cooperative Spectrum Sensing Using Possibilistic Fuzzy C-Means Clustering

Anal Paul Santi P. Maity

Year: 2017 Communications in computer and information science Pages: 382-396 Publisher: Springer Science+Business Media

DOI: 10.1007/978-981-10-6427-2_31

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Keywords:

Fuzzy logic Cluster analysis Partition (number theory) Data mining Computer science Fuzzy clustering Fuzzy set Constraint (computer-aided design) Energy (signal processing) Set (abstract data type) Algorithm Fusion center Energy consumption Process (computing) Mathematics Artificial intelligence Engineering Statistics Cognitive radio

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Cognitive Radio Networks and Spectrum Sensing

Physical Sciences → Computer Science → Computer Networks and Communications

Distributed Sensor Networks and Detection Algorithms

Physical Sciences → Computer Science → Computer Networks and Communications

Blind Source Separation Techniques

Physical Sciences → Computer Science → Signal Processing

On Energy Efficient Cooperative Spectrum Sensing Using Possibilistic Fuzzy C-Means Clustering

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