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Embodied Cognition-Based Distributed Spectrum Sensing for Autonomic Wireless Systems

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Autonomic Computing and Networking

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Abstract

In the past decade, the usage of portable communication devices hascontinued to increase. Autonomic communications (AC) represents anew frontier for mobile communications because they will allowautonomous and self-regulated network and communicationprotocols procedures. Dynamic observation of the spectrum andadaptive reactions of the autonomic terminal to wireless channelconditions are hence important problems in improving the spectrumefficiency as well as in allowing a complete access to the networkwherever and whenever the user needs them. Cognitive radio probablyrepresents the most suitable paradigm for building communicationterminals/devices for AC. In this chapter, after a tutorial overviewof the current state of the art on cognitive radio visions and onstand-alone and cooperative/distributed approaches to spectrumsensing, the general problem of spectrum sensing will be addressed.Then a new vision, based on embodied cognition will be presentedtogether with a distributed spectrum sensing algorithm that isformalized within the embodied framework. Results will illustratethe effectiveness of the proposed method.

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Authors and Affiliations

  1. Department of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11a, 16145 Genova, Italy

    Luca Bixio, Andrea F. Cattoni & Carlo S. Regazzoni

  2. Department of Electrical Engineering and Computer Science, Syracuse University, NY, USA

    Pramod K. Varshney

Authors
  1. Luca Bixio
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  2. Andrea F. Cattoni
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  3. Carlo S. Regazzoni
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  4. Pramod K. Varshney
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Correspondence to Luca Bixio .

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    © 2009 Springer-Verlag US

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    Bixio, L., Cattoni, A.F., Regazzoni, C.S., Varshney, P.K. (2009). Embodied Cognition-Based Distributed Spectrum Sensing for Autonomic Wireless Systems. In: Zhang, Y., Yang, L., Denko, M. (eds) Autonomic Computing and Networking. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-89828-5_8

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    • DOI: https://doi.org/10.1007/978-0-387-89828-5_8

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    • Publisher Name: Springer, Boston, MA

    • Print ISBN: 978-0-387-89827-8

    • Online ISBN: 978-0-387-89828-5

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