Novel Technique Using Fuzzy Logic for Reliable Data Transfer Using Congestion Control in Mobile ADHOC Networ

Abstract

In this article, a modern method focused on fuzzy logic was developed in order to resolve the topic of congestion in the Mobile ADHOC Network. In order to approximate the degree of congestion in deployed nodes and find out the optimal transmission rate for deployed nodes, our framework consists of two key distinct components. Then, it can change the propagation rate in the immediate nodes. In terms of packet loss and even energy usage, the efficiency of this strategy correlates with PCCP, which is a non-fuzzy algorithm, and FCC. The suggested methodology has been shown to increase network efficiency. It is attributed to the comparatively high density of nodes and connectivity pattern of source-to-sink. Not only does congestion cause packet failure, it often contributes to unnecessary use of resources as well as delay. It is therefore necessary to suggest designing a novel approach for congestion estimation and control in order to prolong network existence and enhance justice and have better service quality. We are proposing a fuzzy logic dependent algorithm to identify and monitor the amount of congestion in the Mobile ADHOC Network to resolve this problem. Local knowledge such as packet loss rate and delay to manage congestion in the network is treated by the proposed algorithm. Simulation findings indicate that in prolonging network lifetime as well as decreasing packet loss, our protocol performs better than a recently established protocol.