Fuzzy Logic-Based Congestion Control in AODV Mesh Networks

Abstract

Mesh networks refer to a wireless network capable of self-configuration that does not rely on a fixed infrastructure. The management of network congestion is a crucial concern in such networks owing to the restricted resources and the constantly changing topology of the network. Implementing a decentralized routing protocol, including the AODV routing protocol, is prevalent in mesh networks, where individual nodes are intermediaries for transmitting data packets. Congestion may arise due to network overload, leading to elevated packet loss, prolonged latencies, and suboptimal resource allocation. The present study suggests using a fuzzy logic approach to regulate the latest broadcast packet information within the AODV routing protocol. This technique aims to mitigate congestion in mesh networks and improve the performance of AODV. The study's main findings indicate that incorporating fuzzy logic into the routing protocol can enhance network performance and optimize the use of network resources. The results demonstrate a 97.78% to 96.43% PDR, a 4.41% to 5.93% PLR, and a routing overhead of 4.41% to 5.93% compared to other protocols. These outcomes suggest that fuzzy logic could effectively improve routing in mesh networks.