DocumentCode :
2576789
Title :
A novel fuzzy congestion control algorithm for router buffers
Author :
Devi, B.S.K. ; Preetha, G. ; Nidhya, S.D. ; Shalinie, S. Mercy
Author_Institution :
Dept. of Comput. Sci. & Eng., Anna Univ., Madurai, India
fYear :
2011
fDate :
3-5 June 2011
Firstpage :
423
Lastpage :
427
Abstract :
Internet users are increasing with the advent of technology particularly voice over IP. Hence the amount of data carried by routers also increases sporadically. Congestion control still remains to be a critical issue. It is necessary to implement an effective queuing algorithm on the router that governs buffering of packets on transmission. In this paper, Adaptive Drop Tail Fuzzy Logic (ADT-FL) is proposed to regulate the queue size of the router buffers based on the input traffic conditions and available link bandwidth. Packet level ns-2 simulation shows that the proposed ADT-FL has better performance and low packet loss than conventional Drop Tail and RED queuing algorithms. Low packet loss rate leads to high throughput, low latency, low queuing delay resulting in better network performance.
Keywords :
Internet telephony; delays; fuzzy control; queueing theory; telecommunication congestion control; telecommunication network routing; telecommunication traffic; ADT-FL; Internet; RED queuing algorithm; adaptive drop tail fuzzy logic; link bandwidth; novel fuzzy congestion control algorithm; packet level ns-2 simulation; packet loss rate; queue size regulation; queuing algorithm; queuing delay; router buffer; traffic condition; voice over IP; Adaptation models; Algorithm design and analysis; Bandwidth; Delay; Fuzzy logic; Internet; Throughput; Congestion control; Drop tail; RED; fuzzy logic; network performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Recent Trends in Information Technology (ICRTIT), 2011 International Conference on
Conference_Location :
Chennai, Tamil Nadu
Print_ISBN :
978-1-4577-0588-5
Type :
conf
DOI :
10.1109/ICRTIT.2011.5972314
Filename :
5972314
Link To Document :
بازگشت