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Article Dans Une Revue Journal of Computer Networks (JCN) Année : 2017

The Next Generation of Wireless Communication Using Li-Fi (Light Fidelity) Technology

Résumé

Today scenario almost all the peoples are using internet to fulfill their task through a wired or wireless network. The speed of internet is an important issue and everyone be it business, organizations, entrepreneurs, and institutions is thrust for getting correct information at the correct time and correct place. Then need rapid internet connectivity, technology and huge spectrum of channels. The wireless-fidelity (Wi-Fi) gives you the speed of 150 Mbps, according to standards of 1EEE 802.11n, but not sufficient to fulfill the necessity of required users over the network. In order to remove this deficiency of Wi-Fi, a new technology is developed by German physicist, professor Harald Haas is known as Li-Fi. The Li-Fi is a wireless communication system in which light is used as a carrier signal instead of traditional radio frequency as in Wi-Fi. Li-Fi is a technology that utilizes a light emitting diode to transmit data wirelessly. It uses a bidirectional and the wireless mode of communication using light. In this paper, I am aiming to demonstrate a close-up view about Li-Fi Technology. This technology we can obtain the data rate greatly speedier than 10 Mbps, which is a lot greater than our LAN (Local Area Network). Li-Fi is very remunerative over Wi-Fi as it uses VLC by which we can make use of the maximum 60 GHz spectrum. Li-Fi confer transmission of data via LED bulb whose intensity change in an excessively faster speed that it could not be able to be explored by the human eye. Li-Fi is confined to the illuminated area, endue a tremendously controllable environment. The signals cannot travel via walls and are fully secure essentially disassemble the threat of data being hacked remotely.
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Dates et versions

hal-03371883 , version 1 (16-10-2021)

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Yusuf Perwej. The Next Generation of Wireless Communication Using Li-Fi (Light Fidelity) Technology. Journal of Computer Networks (JCN), 2017, 4 (1), pp.20-29. ⟨10.12691/jcn-4-1-3⟩. ⟨hal-03371883⟩
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