DocumentCode :
498313
Title :
A Method Creating Different Packet Loss Membership Function in Heterogeneous Network
Author :
Yanxiang, Zhen ; Fang, Su ; Huikan, Xiang
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing, China
Volume :
3
fYear :
2009
fDate :
19-21 May 2009
Firstpage :
315
Lastpage :
319
Abstract :
The packet loss differentiating mechanism of TCP for heterogeneous network has the important influence to the stability of wireless network, relative one way delay (ROD) of Loss Pair is adopted as the differentiating parameter to distinguish the packet loss pattern in reference [Su Fang, Fan Ying-lei, 2008]. The accuracy of this algorithm depends on ROD membership function. In order to differentiate packet loss pattern more accurately, the initialization method based on potential function is proposed by EM algorithm analysis, and the simulation result shows it is superior in convergence speed. Then the modified EM algorithm is applied in creating different packet loss membership function which congestion and wireless error coexist in the network. From the results of simulation, this algorithm has well distinguishing effects in the membership function of different packet loss pattern and practical application value.
Keywords :
computer networks; data communication; expectation-maximisation algorithm; packet radio networks; radio access networks; EM algorithm analysis; heterogeneous network; packet loss membership function; wireless network stability; Algorithm design and analysis; Analytical models; Clustering algorithms; Intelligent networks; Intelligent systems; Mathematical model; Pattern analysis; Stability; Wireless LAN; Wireless networks; Expectation maximization algorithm; Gaussian mixture model; Heterogeneous network; Membership function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, 2009. GCIS '09. WRI Global Congress on
Conference_Location :
Xiamen
Print_ISBN :
978-0-7695-3571-5
Type :
conf
DOI :
10.1109/GCIS.2009.80
Filename :
5209151
Link To Document :
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