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Ubiquitous Sensor Networks Traffic Models for Telemetry Applications

  • Andrey Koucheryavy
  • Andrey Prokopiev
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6869)

Abstract

Changes in network development concepts and paradigms are the key process at the current telecommunication arena. A shift from NGN concept to IoT, USN, M2M and other proposals is taking place. The major reason of a shift is a wide adoption of wireless sensor nodes and RFIDs. According to forecasts, more than 7 trillion wireless devices are expected to become networked by 2020. The traffic models for networks with great number of sensors and RFIDs should be studied well. This paper studies USN traffic models. The study results show that the traffic flows for fixed and mixed fixed/mobile sensor nodes are of the self-similar nature with middle level of self-similarity in both cases. The traffic flow for reconfiguration and signaling is of self-similar nature with high level of self-similarity. The Hurst parameter mean value estimations are determined for different scenarios.

Keywords

USN traffic telemetry applications fixed/mobile sensor nodes Hurst parameter 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Andrey Koucheryavy
    • 1
  • Andrey Prokopiev
    • 2
  1. 1.JSC “Giprosvyaz”St. PetersburgRussia
  2. 2.JSC “UbiTel”St. PetersburgRussia

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