Fuzzy Cautious Adaptive Random Early Detection for Heterogeneous Network

Abstract

Heterogeneous Network consists of wired and wireless network. In these networks, congestion control and quality of service is major issue. Due to this issues, delay and jitter are increased which decreases the performance of network. For reducing this issues there are various queue management techniques which are classified as Active Queue Management and Passive Queue Management. AQM consists of access routers which are used to detect congestion. Working principle of AQM is very effective for congestion control. AQM such as Random Early Detection (RED), has various types such as Adaptive-RED (ARED), Refined-ARED (RE-ARED), Combination of ARED, RE-ARED is Cautious Adaptive RED (CARED). In this paper, CARED is designed for Heterogeneous network. CARED has dynamically changing maximum drop probability (maxp) depends upon level of traffic load. FUZZY-CARED is designed to improve CARED in which maxp cautiously increases and decreases after detecting congestion in the network. The proposed work aims to keep average queue length (newavg) around required target range by cautiously selecting increase maxp on current traffic load. The simulation results shows comparison of ARED, CARED and FUZZY-CARED in which FUZZY-CARED gives better results than ARED, CARED.