Performance Metrics Evaluations for Selected Proactive Routing Protocols in Smart Grid Neighbourhood Area Wireless Mesh Network
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU145153" target="_blank" >RIV/00216305:26220/22:PU145153 - isvavai.cz</a>
Result on the web
<a href="https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf" target="_blank" >https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2022_sbornik_1_v2.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Performance Metrics Evaluations for Selected Proactive Routing Protocols in Smart Grid Neighbourhood Area Wireless Mesh Network
Original language description
The smart grid communication network has improved energy optimization delivery from generation, transmission, and consumption. The introduction of wireless mesh networks in the area of Neighbourhood ad hoc Networks has contributed to the quick and cost-effective way of deployment in the areas where back-haul technology like fiber optic is expensive and challenging and may not be timely. The IEEE 802.11s standard-based wireless mesh network associated with the hybrid wireless mesh protocol is highly recommended due to its extended functionality. However, the hybrid wireless mesh protocol based mesh networks can not guarantee the quality of service in such an environment. The OLSR (Optimised Link State Routing) protocol outperforms the Reactive protocol in ad hoc Networks when transmission quality is required. This paper proposes the adaptation of Extended Transmission Control with OLSR as the optimized protocol for such an environment in neighbourhood ad hoc networks. The simulation study was carried o
Czech name
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Czech description
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Classification
Type
O - Miscellaneous
CEP classification
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OECD FORD branch
20203 - Telecommunications
Result continuities
Project
<a href="/en/project/FW03010273" target="_blank" >FW03010273: Defectoscopy of painted parts using automatic adaptation of neural networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
U - Předmět řešení projektu je utajovanou skutečností podle zvláštních právních předpisů nebo je skutečností, jejíž zveřejnění by mohlo ohrozit činnost zpravodajské služby. Údaje o projektu jsou upraveny tak, aby byly zveřejnitelné