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Fuzzy C-Means Clustering in Energy Detection for Cooperative Spectrum Sensing in Cognitive Radio System

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Multiple Access Communications (MACOM 2014)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8715))

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Abstract

An energy detection based cooperative spectrum sensing approach using Fuzzy c-means clustering is proposed in this work for cognitive radio system. The objective here is to categorize first the measured PU energy contents into multiple classes to highlight the relative degree in presence or absence of PU and Fuzzy c-means (FCM) algorithm is utilized for this purpose. A soft decision based spectrum sensing is proposed here to categorize the presence or absence of PU in four different classes which then develop individual binary decision functions. Resultant binary decision function is then developed using OR fusion rule. Simulation results highlight that the proposed scheme provides high detection probability at low diversity and less number of samples. The results are further compared with the performance of the conventional energy detector methods to highlight the significance of the proposed scheme.

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Author information

Authors and Affiliations

  1. Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India, 711103

    Subhankar Chatterjee, Avik Banerjee & Santi P. Maity

  2. Department of Electronics and Telecommunication Engineering, Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India, 711103

    Tamaghna Acharya

Authors
  1. Subhankar Chatterjee
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  2. Avik Banerjee
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  3. Tamaghna Acharya
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  4. Santi P. Maity
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Editor information

Editors and Affiliations

  1. School of Information Science, Computer and Electrical Engineering, Halmstad University, Kristian IV:s väg 3, 30118, Halmstad, Sweden

    Magnus Jonsson  & Alexey Vinel  & 

  2. Department of Information and Communication Technologies, Universitat Pompeu Fabra, Roc Boronat 138, 08018, Barcelona, Spain

    Boris Bellalta

  3. Department of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 3, 33720, Tampere, Finland

    Evgeny Belyaev

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© 2014 Springer International Publishing Switzerland

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Chatterjee, S., Banerjee, A., Acharya, T., Maity, S.P. (2014). Fuzzy C-Means Clustering in Energy Detection for Cooperative Spectrum Sensing in Cognitive Radio System. In: Jonsson, M., Vinel, A., Bellalta, B., Belyaev, E. (eds) Multiple Access Communications. MACOM 2014. Lecture Notes in Computer Science, vol 8715. Springer, Cham. https://doi.org/10.1007/978-3-319-10262-7_8

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  • DOI: https://doi.org/10.1007/978-3-319-10262-7_8

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10261-0

  • Online ISBN: 978-3-319-10262-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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