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Efficient Adaptation of Fuzzy Controller for Smooth Sending Rate to Avoid Congestion in Multicast Networks


Affiliations
1 Department of Computer Engineering, Information Science and Engineering, JawaharaLal Nehru National College of Engineering. Shimogga, Karnataka, India
2 Department of Telecommunication and Engineering, JawaharaLal Nehru National College of Engineering. Shimogga, Karnataka, India
 

This paper prefers a fuzzy-logic-based sending rate adaption scheme named FSR(Fuzzy Sending Rate) intending to improve the evenness of TCPFriendly Multicast Congestion Control (TFMCC). To mitigate fluctuation of sending rate for TFMCC sender, FSR intends, five actions and link utilization for tuning sending rate and uses a fuzzy controller to determine which operation should be reaped according to the feedback information from CLR (current limiting receiver). Asymmetrical membership functions and biased fuzzy inference rules make FSR as friendly to TCP flows as TFMCC. Simulation results show that FSR has exceptional smoothness and fine TCP Friendliness.

Keywords

Tfmcc, Rtt, Link Utilization, Sending Rate, Fuzzy Controller.
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Abstract Views: 390

PDF Views: 175




  • Efficient Adaptation of Fuzzy Controller for Smooth Sending Rate to Avoid Congestion in Multicast Networks

Abstract Views: 390  |  PDF Views: 175

Authors

V. B. Deepa
Department of Computer Engineering, Information Science and Engineering, JawaharaLal Nehru National College of Engineering. Shimogga, Karnataka, India
M. B. Ushadevi
Department of Telecommunication and Engineering, JawaharaLal Nehru National College of Engineering. Shimogga, Karnataka, India

Abstract


This paper prefers a fuzzy-logic-based sending rate adaption scheme named FSR(Fuzzy Sending Rate) intending to improve the evenness of TCPFriendly Multicast Congestion Control (TFMCC). To mitigate fluctuation of sending rate for TFMCC sender, FSR intends, five actions and link utilization for tuning sending rate and uses a fuzzy controller to determine which operation should be reaped according to the feedback information from CLR (current limiting receiver). Asymmetrical membership functions and biased fuzzy inference rules make FSR as friendly to TCP flows as TFMCC. Simulation results show that FSR has exceptional smoothness and fine TCP Friendliness.

Keywords


Tfmcc, Rtt, Link Utilization, Sending Rate, Fuzzy Controller.

References