Fuzzy Logic-Based Congestion Control in AODV Mesh Networks

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F23%3A39920847" target="_blank" >RIV/00216275:25410/23:39920847 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/10252245" target="_blank" >https://ieeexplore.ieee.org/document/10252245</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICECCME57830.2023.10252245" target="_blank" >10.1109/ICECCME57830.2023.10252245</a>

Result language

angličtina

Original language name

Fuzzy Logic-Based Congestion Control in AODV Mesh Networks

Original language description

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&apos;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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2023

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 : proceedings

ISBN

979-8-3503-2298-9

ISSN

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e-ISSN

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Number of pages

10

Pages from-to

192890

Publisher name

IEEE (Institute of Electrical and Electronics Engineers)

Place of publication

New York

Event location

Tenerife

Event date

Jul 19, 2023

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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