An Improved Algorithm of Nonlinear RED Based on Membership Cloud Theory

Abstract

Concerning on the shortcoming and complexity of Random early detection (RED) algorithm in network congestion control, a new RED algorithm based on the Hemi-Rise Cloud model (CRED) was proposed, nonlinear packet loss strategy was used, and sensitivity and uncertainty of parameters were improved. As a result, queue length could be kept stable in the neighborhood of reference value. Network congestion was well controlled and network resource was used effectively. The stability of the algorithm was studied and the experimental results showed that the proposed algorithm could improve the stability, and had better performance than the RED and Adaptive RED (ARED) algorithms.