2019 International Conference on Artificial Intelligence in Information and Communication (ICAIIC) 2019
DOI: 10.1109/icaiic.2019.8669041
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Smart navigation with AI Engine for Li-Fi based Medical Indoor Environment

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Cited by 5 publications
(6 citation statements)
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“…At that point, the AP sends the device position information to the central server. Subsequently, the Central Server utilizes the user position details to create a user location map (location information) [155].…”
Section: Location Detectionmentioning
confidence: 99%
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“…At that point, the AP sends the device position information to the central server. Subsequently, the Central Server utilizes the user position details to create a user location map (location information) [155].…”
Section: Location Detectionmentioning
confidence: 99%
“…Therefore, this section aims to elaborate and discuss the components and architecture of LiFi. A standard LiFi operating system involves propagation in one path, such as DL [89,158,159] or UL [34,155] or where both of them are BID [78,103,160]. Power and data may be supplied to each light fixture through various approaches, including Power Over Ethernet (PoE) and Power Line Connectivity (PLC) [14].…”
Section: Component and Architecture Of A Lifi Systemmentioning
confidence: 99%
“…Therefore, another research direction exists, which is based on the use of either already existing sensors in the environment [34][35][36][37][38] or on databases containing mathematical analyses and predictions based on such sensory data [39][40][41]. The applications utilizing sensors distributed in the environment are based mainly on means typical for IoT.…”
Section: Related Workmentioning
confidence: 99%
“…The applications utilizing sensors distributed in the environment are based mainly on means typical for IoT. They can be roughly divided to the exterior (outdoor) [34] and interior [35][36][37][38] applications. If for any reason satellite navigation systems like GPS cannot be used, then radio beacons represent an alternative [34].…”
Section: Related Workmentioning
confidence: 99%
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