DocumentCode :
119983
Title :
State of the art and research challenges for USN traffic flow models
Author :
Koucheryavy, Andrey
Author_Institution :
State Univ. of Telecommun., St. Petersburg, Russia
fYear :
2014
fDate :
16-19 Feb. 2014
Firstpage :
336
Lastpage :
340
Abstract :
The traffic flow model was one of the most important investigation topic for any networks during them evolution. The traffic flow model understanding was changes from network to network, from service to service. The USN traffic flow models are in the focus of this paper. The telemetry, image and medical USN applications traffic flow models are investigated. The self-similarity features are determined. The practical benefits of obtained results are considered. The traffic flow type impact to the USN life-time in the different intrusion conditions is proved.
Keywords :
next generation networks; radiotelemetry; telecommunication traffic; wireless sensor networks; USN lifetime; USN traffic flow model; intrusion conditions; self-similarity feature determination; telemetry; ubiquitous sensor network; Estimation; Mobile communication; Peer-to-peer computing; Telemetry; Wireless communication; Wireless sensor networks; Hurst parameter; USN; traffic flow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Communication Technology (ICACT), 2014 16th International Conference on
Conference_Location :
Pyeongchang
Print_ISBN :
978-89-968650-2-5
Type :
conf
DOI :
10.1109/ICACT.2014.6778977
Filename :
6778977
Link To Document :
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