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Distributed Recovery Units for Demodulation in Wireless Sensor Networks

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Distributed Computing in Sensor Systems (DCOSS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 3560))

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Abstract

In this paper, the distributed recovery units for FM and PPM demodulation in wireless sensor networks is proposed and is showed that, the method introduces very little amount of distortion to recovered signal. With simulations, we have examined several different parameters. Besides, two different filtering schemes are simulated. Effect of iteration coefficient (λ) on stability and convergence rate is investigated for different sampling and filtering methods. Next, we have studied the noise effect in demodulation with this method. Simulations results are included to verify convergence.

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References

  1. Marvasti, F.: A Unified Approach to Zero-Crossing and Nonuniform Sampling of Single and Multidimensional Signals and Systems. Nonuniform Publication (1987)

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  2. Marvasti, F.: The reconstruction of a signal from the FM zero-crossing. Trans. of IECE of Japan E68(10) (October 1985)

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Authors and Affiliations

  1. Sharif University of Technology, Tehran Polytechnic University of Technology,  

    Mostafa Borhani & Vafa Sedghi

Authors
  1. Mostafa Borhani
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  2. Vafa Sedghi
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Editors and Affiliations

  1. Department of Electrical Engineering, University of Southern California, 90089-2562, Los Angeles, CA, USA

    Viktor K. Prasanna

  2. Department of Computer Science, Louisiana State University, Baton Rouge, USA

    Sitharama S. Iyengar

  3. Department of Computer Engineering and Informatics, University of Patras, 26500, Rio, Patras, Greece

    Paul G. Spirakis

  4. School of Engineering and Applied Sciences, Harvard University, 02138, Cambridge, MA, USA

    Matt Welsh

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© 2005 Springer-Verlag Berlin Heidelberg

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Borhani, M., Sedghi, V. (2005). Distributed Recovery Units for Demodulation in Wireless Sensor Networks. In: Prasanna, V.K., Iyengar, S.S., Spirakis, P.G., Welsh, M. (eds) Distributed Computing in Sensor Systems. DCOSS 2005. Lecture Notes in Computer Science, vol 3560. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11502593_47

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  • DOI: https://doi.org/10.1007/11502593_47

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26422-4

  • Online ISBN: 978-3-540-31671-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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