الفهرس 
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Abstract
Li-Fi stands for Light-Fidelity, is a creating department of Optical Wireless
Communication (OWC) that gives more noteworthy information transmission
using noticeable light as a medium rather than conventional radio frequency
electromagnetic radiation with the ability to employ surplus users since it uses a
wide range of spectrum bandwidth.
Recently the implementation of wireless sensors has been increased in the
design of high-performance buildings. On the other side, the main challenge in
using Wireless Sensor Systems (WSNs) is that the sensor nodes have restricted
power in their basic power capacity unit, this power may be rapidly exhausted in
case the sensor node remains operational for extended periods of time also data
transmission is a significant challenge in WSNs.
Non-Orthogonal Multiple Access (NOMA) is a novel encoding technique
proposed for next-generation wireless communications. NOMA may send many
symbols utilizing the same time, frequency, and coding resource but dividing them
in the power domain and differentiating them based on the various power levels of
distinct symbols, which are subsequently demultiplexed at the receiver using an
interference cancellation approach.
This thesis provides an overview of Li-Fi technology as well as an
investigation of its performance over WSNs using the Non-Orthogonal Multiple
Access (NOMA) approaches. This is done to address the primary requirements of
WSNs, which include high connectivity, low latency, energy savings, and ultrahigh data rates.
In this thesis, we used two scientific software to analyze the performance of
wireless sensor networks with Li-Fi technology: OptiSystem, which is a tool for
developing and analyzing optical communication systems, and Matlab which is
used to integrate results curves. In this analysis, we consider three models of wireless sensor networks that use photodetectors that receive data from LED
throughout the FSO channel: the LOS model, the single LED non-LOS model and
the two LED non-LOS model. When comparing the models together, the
experimental results indicated that the LOS model is the best for WSNs which use
Li-Fi technology.
For the analysis of LiFi-WSN systems, this thesis presents a proposed model
using python software that combines WSN and Li-Fi using the NOMA technique
to offer many key benefits and effective solutions for these issues by evaluating the average link throughput and energy efficiency to accommodate more sensor nodes and prolong the lifetime of the WSNs in agriculture.