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Cognitive MAC Protocol with Transmission Tax: Probabilistic Analysis and Performance Improvements

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Cognitive Radio Mobile Ad Hoc Networks

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Abstract

We investigate the performance of a cognitive personal area network (CPAN) in which spectrum sensing is linked to packet transmissions. Efficient CPAN operation may be achieved if each data transmission is taxed by requiring the transmitting node to participate in cooperative sensing for a prescribed time period. In this approach, each node is allowed to transmit a single packet in one transmission cycle, but must then ‘pay’ for it by spectrum sensing, which not only ensures fairness with respect to transmission but also distributes the sensing burden to all nodes. We describe a probabilistic model of the integrated system and evaluate its performance with respect to packet transmissions and spectrum sensing. We discuss two modifications that involve centralized and distributed selection of the channels to be sensed. We also propose an adaptive algorithm to determine the tax coefficient and show that it offers superior data transmission performance while not affecting the sensing accuracy.

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Authors and Affiliations

  1. Department of Computer Science, Ryerson University, Toronto, ON, M5B 2K3, Canada

    Vojislav B. Mišić

  2. Department of Computer Science, Ryerson University, Toronto, ON, Canada

    Jelena Mišić

Authors
  1. Vojislav B. Mišić
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  2. Jelena Mišić
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Correspondence to Vojislav B. Mišić .

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Editors and Affiliations

  1. Dept. Systems &, Computer Engineering, Carleton University, Colonel By Drive 1125, Ottawa, K1S 5B6, Ontario, Canada

    F. Richard Yu

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Mišić, V.B., Mišić, J. (2011). Cognitive MAC Protocol with Transmission Tax: Probabilistic Analysis and Performance Improvements. In: Yu, F. (eds) Cognitive Radio Mobile Ad Hoc Networks. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-6172-3_6

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  • DOI: https://doi.org/10.1007/978-1-4419-6172-3_6

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  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4419-6171-6

  • Online ISBN: 978-1-4419-6172-3

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