Fuzzy Logic-Based Congestion Control in AODV Mesh Networks
Identifikátory výsledku
Kód výsledku v 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>
Výsledek na webu
<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>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fuzzy Logic-Based Congestion Control in AODV Mesh Networks
Popis výsledku v původním jazyce
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.
Název v anglickém jazyce
Fuzzy Logic-Based Congestion Control in AODV Mesh Networks
Popis výsledku anglicky
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.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2023
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
International Conference on Electrical, Computer, Communications and Mechatronics Engineering, ICECCME 2023 : proceedings
ISBN
979-8-3503-2298-9
ISSN
—
e-ISSN
—
Počet stran výsledku
10
Strana od-do
192890
Název nakladatele
IEEE (Institute of Electrical and Electronics Engineers)
Místo vydání
New York
Místo konání akce
Tenerife
Datum konání akce
19. 7. 2023
Typ akce podle státní příslušnosti
EUR - Evropská akce
Kód UT WoS článku
—