Ubiquitous Sensor Networks Traffic Models for Image Applications

نویسندگان

  • Ammar Muthanna
  • Andrey Prokopiev
  • Andrey Koucheryavy
چکیده

The Internet of Things (IoT) is a new concept for telecommunication development. The IoT and things determinations are considering in accordance the ITU-T recommendations. The Ubiquitous sensor Network (USN) is one of the general IoT components. The traffic models for such network should be studied well. The USN traffic models study results for image applications are considered in this paper. The USN in the paper will be not special for image transmission. This USN is multi application network with AODV (Ad Hoc OnDemand Distance Vector) signalling protocol. The paper results show that the traffic flows for image USN applications are self-similar with the high level of self-similarity.

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تاریخ انتشار 2013