DocumentCode
3443967
Title
A Transmission Model Based on Wireless Protocol for Network Auto-Tuning and Pressure Forcasting
Author
Wang, Jianrong ; Chang, Xinglong ; Zhao Zheng
Author_Institution
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin
fYear
2008
fDate
12-14 Oct. 2008
Firstpage
1
Lastpage
5
Abstract
Today with limited wireless network bandwidth, network application performance often depends on the performance of network transmission. Then, optimizing the transmission model of wireless protocol and perfecting protocol on the wireless network transmission forecast capacity come to be the key point. This paper proposes a transmission model called wireless transmission protocol stack (WTPS), which not only could transfer almost any type of data conveniently using simple operations such as "push" and "pop", but also could make improvement itself by designed machine learning algorithm and give out network pressure prediction based on the real application situation. This paper also proposed related algorithms and a detailed exposition. Further, it\´s a unified transmission model in wireless protocol which could used between server and terminals, terminals and terminals in the protocol of Bluetooth, UWB, ZigBee, and Wi-Fi without any changes.
Keywords
forecasting theory; learning (artificial intelligence); prediction theory; protocols; radio networks; Bluetooth; UWB; Wi-Fi; ZigBee; machine learning algorithm; network auto-tuning; network pressure prediction; network transmission; pop operation; push operation; transmission model; wireless network; wireless protocol; wireless transmission protocol stack; Access protocols; Algorithm design and analysis; Bandwidth; Bluetooth; Machine learning algorithms; Predictive models; Wireless application protocol; Wireless communication; Wireless networks; ZigBee;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on
Conference_Location
Dalian
Print_ISBN
978-1-4244-2107-7
Electronic_ISBN
978-1-4244-2108-4
Type
conf
DOI
10.1109/WiCom.2008.1051
Filename
4678959
Link To Document