Optimization and design of a diffuse optical wireless sensor network
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F22%3A00358952" target="_blank" >RIV/68407700:21230/22:00358952 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1364/AO.463330" target="_blank" >https://doi.org/10.1364/AO.463330</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1364/AO.463330" target="_blank" >10.1364/AO.463330</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Optimization and design of a diffuse optical wireless sensor network
Popis výsledku v původním jazyce
Wireless sensor networks (WSNs) are currently being deployed in everyday objects to collect and transmit information related to humidity, temperature, heartbeat, motion, etc. Such networks are part of the massive machine-type communication (mMTC) scenario within the fifth/sixth generation of wireless networks. In this paper, we consider the optimization and design of an optical WSN composed of multiple battery-powered sensor nodes based on light-emitting diode transmitters. Extending our previous work, we take into account both line-of-sight and diffuse-light propagation, and show that in indoor scenarios, diffuse radiation can improve link availability under shadowing/blocking and extend battery life. In order to optimize the optical wireless link parameters, we use a machine-learning approach based on a genetic algorithm to ascertain the performance limits of the system. The presented results indicate that the proposed system is a viable wireless option for WSNs within the context of mMTC.
Název v anglickém jazyce
Optimization and design of a diffuse optical wireless sensor network
Popis výsledku anglicky
Wireless sensor networks (WSNs) are currently being deployed in everyday objects to collect and transmit information related to humidity, temperature, heartbeat, motion, etc. Such networks are part of the massive machine-type communication (mMTC) scenario within the fifth/sixth generation of wireless networks. In this paper, we consider the optimization and design of an optical WSN composed of multiple battery-powered sensor nodes based on light-emitting diode transmitters. Extending our previous work, we take into account both line-of-sight and diffuse-light propagation, and show that in indoor scenarios, diffuse radiation can improve link availability under shadowing/blocking and extend battery life. In order to optimize the optical wireless link parameters, we use a machine-learning approach based on a genetic algorithm to ascertain the performance limits of the system. The presented results indicate that the proposed system is a viable wireless option for WSNs within the context of mMTC.
Klasifikace
Druh
J<sub>imp</sub> - Článek v periodiku v databázi Web of Science
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2022
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Applied Optics
ISSN
1559-128X
e-ISSN
2155-3165
Svazek periodika
61
Číslo periodika v rámci svazku
22
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
10
Strana od-do
6599-6608
Kód UT WoS článku
000836697200033
EID výsledku v databázi Scopus
2-s2.0-85134877253