Title :
An application of genetic fuzzy system to improve the random exponential marking algorithm in active queue management
Author :
Phuong Huy Nguyen ; Ba Dung Le
Author_Institution :
Thai Nguyen Univ. of Technol., Thai Nguyen, Vietnam
Abstract :
Active Queue Management algorithms (AQM) are setup in routers on telecommunication networks in order to provide a mechanism to mark or discard packets in an appropriate way so as not to cause congestion on network and maintain the best quality of services with different traffic flows. Previous methods of AQM are designed with fixed parameters so It should not really online adapt to the network dynamic. To overcome this drawback, this paper proposed a new algorithm to improve Random Exponential Marking (REM) by combining fuzzy system and genetic algorithm. This new method allows automatic adjustment of parameters with the network dynamic. Results are verified through software simulation on NS2.
Keywords :
fuzzy systems; genetic algorithms; quality of service; queueing theory; random processes; telecommunication congestion control; telecommunication network management; telecommunication network routing; telecommunication traffic; AQM algorithm; NS2 software simulation; REM algorithm; active queue management algorithm; genetic algorithm; genetic fuzzy system; quality of services; random exponential marking algorithm; telecommunication network routing; traffic flow; Active Queue Managemen; Genetic Fuzzy System; Random Exponential Marking;
Conference_Titel :
Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4673-1183-0
DOI :
10.1109/BMEI.2012.6513179
