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