A Rate based Congestion Control Mechanism Using Fuzzy Controller in MANETs

Abstract

The traditional congestion control mechanism TCP, performs very poorly in MANETs Because there are a number of new challenges such as wireless link error, medium contention and frequent route failures in this kind of networks [1]. In this paper, we propose a fuzzy adhoc rate-based congestion control (FARCC) to enhance the efficiency of network in MANETs. In FARCC, we use a rate-based transmission scheme using two fuzzy controller of zero order Takagi Sugeno Kang (TSK) model to congestion detection and congestion control. The FARCC sender adjusts data rate by receiving a feedback packet from FARCC destination. NS2-based simulation results show that FARCC outperforms ITP and ATP to achieve, in terms of throughput and fair resource allocation in AdHoc networks under random topology.

A Routing Delay Predication Based on Packet Loss and Explicit Delay Acknowledgement for Congestion Control in MANET

“…Congested networks can therefore seriously degrade network performance. Many studies [13], [20], [21], [24], [25] have shown that audio and video respond more slowly to packet loss than streaming and better match congestion mechanisms to achieve smooth throughput changes. A lot of Internet propose models have changed with the advent of new multimedia usages.…”

“…However, compared to MANET, multimedia applications face some problems due to the inherent characteristics of MANET. The rate control technique widely applied in wired networks is an "equation-based rate control" recognized as "TCP Friendly Rate Control (TFRC)" [22], [25], [27]. There are basically three benefits to rate control by means of TFRC.…”

“…Therefore, streaming rate control over wireless and CC are current open concerns. As a consequence, several attempts have been made to advance the performance of "TCP" [7], [9], [10] or "TFRC" [22], [25] over a wireless network. This approach provides the ability to hide the end host from PL because of wireless link failure or to distinguish PL caused by congestion and link failure on the end host.…”

“…Y. Mai et al [3] present a new congestion control scheme for AODV routing protocol term as CC-AODV, it also support to manage the routing congestion condition to reduce the packet drop rate. In the past, many end-to-end measures are being proposed to predict congestion and delay to minimize the packet losses [11], [12], [18], [24], [25], [26]. The accurate estimation of the congestion and delay will improvise the TCP throughput.…”