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.
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Koucheryavy, A., Prokopiev, A. (2011). Ubiquitous Sensor Networks Traffic Models for Telemetry Applications. In: Balandin, S., Koucheryavy, Y., Hu, H. (eds) Smart Spaces and Next Generation Wired/Wireless Networking. ruSMART NEW2AN 2011 2011. Lecture Notes in Computer Science, vol 6869. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22875-9_26
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DOI: https://doi.org/10.1007/978-3-642-22875-9_26
Publisher Name: Springer, Berlin, Heidelberg
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