LiFi Projects examples using omnet++

LiFi (Light Fidelity) is a wireless communication technology that uses light to transfer data, providing high-speed data transfer and secure communication. It is especially promising for environments where radio frequency (RF) communication is either unsuitable or restricted. Different traditional Wi-Fi, which uses radio waves, LiFi relies on visible light, infrared, or ultraviolet light to communicate. Given below are some project instances related to LiFi using OMNeT++:

LiFi Communication System Modeling

Description: Improve and mimic a basic LiFi communication system to know its performance characteristics under various environmental conditions.

Key Features:

Execution of a LiFi transmitter and receiver model using visible light communication (VLC) principles.
To emulate the various environmental scenarios, comprising indoor settings with changing levels of light interference, reflection, and absorption.
Performance evaluation based on metrics like data rate, signal-to-noise ratio (SNR), and bit error rate (BER).

Tools & Frameworks:

Custom LiFi Modules in OMNeT++: Improve custom modules to model and mimic the LiFi communication system within OMNeT++.

LiFi and Wi-Fi Hybrid Network

Description: Discover the integration of LiFi with traditional Wi-Fi networks to make a hybrid communication system that influences the strengths of both technologies.

Key Features:

Execution of a hybrid network model where devices switch among LiFi and Wi-Fi based on signal strength, data rate requirements, and user mobility.
Emulation of scenarios with changing levels of user mobility, data traffic, and environmental conditions.
Calculate the metrics in terms of network throughput, latency, handover efficiency, and user experience.

Tools & Frameworks:

INET Framework with Custom LiFi Extensions: Implement the INET framework in OMNeT++ to mimic hybrid LiFi/Wi-Fi networks.

Mobility Management in LiFi Networks

Description: Examine mobility management methods in LiFi networks to maintain seamless communication as users move among various LiFi zones.

Key Features:

Execution of handover algorithms that permit devices to smoothly transition among LiFi access points as they move.
Emulation of indoor environments, like offices or shopping malls, with changing levels of user mobility and LiFi coverage.
Examine the metrics in terms of handover latency, packet loss, and impact on communication continuity.

Tools & Frameworks:

INET Framework with Mobility Extensions: Mimic mobility management strategies in LiFi networks using OMNeT++.

Energy-Efficient LiFi Communication

Description: Investigate energy-efficient communication strategies in LiFi networks to expand the battery life of mobile devices though maintaining high-quality communication.

Key Features:

Execution of energy-saving techniques like adaptive transmission power control, duty cycling, and energy-aware modulation schemes.
Emulation of scenarios with changing levels of ambient light, data traffic, and device energy constraints.
Performance evaluation based on metrics such as energy consumption, network lifetime, and data transmission quality.

Tools & Frameworks:

Custom Energy Modules in OMNeT++: Develop and mimic energy-efficient communication protocols for LiFi networks.

LiFi for Secure Communication

Description: Examine the use of LiFi for secure communication, where data is transmitted through light, making it complex to intercept without a direct line of sight.

Key Features:

Execution of security protocols that leverage the inherent line-of-sight requirement of LiFi to avoid unauthorized access and eavesdropping.
To emulate the situations with changing levels of physical security, containing potential attacks like jamming or interception attempts.
To assess the metrics in terms of data security, communication reliability, and impact on latency.

Tools & Frameworks:

Custom Security Modules in OMNeT++: Build and mimic secure communication protocols for LiFi networks.

LiFi for Internet of Things (IoT)

Description: Investigate the application of LiFi in IoT networks, where light-based communication is used to connect a large number of devices in a smart environment.

Key Features:

Execution of communication protocols optimized for IoT devices, aiming on low power consumption, scalability, and data reliability.
To emulate the IoT scenarios in smart homes, offices, or industrial environments, where LiFi is used for device communication.
Performance evaluation based on metrics like data delivery success rate, network scalability, and energy efficiency.

Tools & Frameworks:

INET Framework with IoT and LiFi Extensions: Improve and mimic LiFi communication protocols adapted for IoT applications.

Cross-Layer Optimization in LiFi Networks

Description: Examine cross-layer optimization techniques in LiFi networks to improve overall network performance by incorporating several layers of the communication stack.

Key Features:

Execution of cross-layer strategies that optimize interactions among the physical, MAC, and network layers, focusing on the particular needs of LiFi.
Emulation of scenarios with changing network conditions, traffic patterns, and device capabilities.
Examine in terms of system throughput, latency, energy efficiency, and network robustness.

Tools & Frameworks:

Custom Cross-Layer Modules in OMNeT++: Improve and mimic cross-layer optimization strategies for LiFi networks.

LiFi for Indoor Positioning Systems

Description: Discover the use of LiFi for indoor positioning systems (IPS), where the light-based communication is used to establish the precise location of devices in a building.

Key Features:

Execution of positioning algorithms that leverage the single characteristics of LiFi signals, like angle of arrival (AoA) and received signal strength (RSS).
Emulation of indoor environments with changing levels of coverage, interference, and user mobility.
To assess the metrics in terms of positioning accuracy, latency, and impact on data communication.

Tools & Frameworks:

Custom Positioning Modules in OMNeT++: Upgrade and mimic LiFi-based indoor positioning systems.

LiFi for High-Speed Data Transfer

Description: Examine the potential of LiFi for ultra-high-speed data transfer, discovering its application in scenarios needing large bandwidths, like data centers or multimedia streaming.

Key Features:

Execution of high-speed modulation schemes and advanced error correction methods to maximize data rates.
To emulate the situation with changing levels of data traffic, environmental interference, and network configurations.
Estimate the metrics such as data throughput, error rate, and impact on latency.

Tools & Frameworks:

Custom High-Speed Modules in OMNeT++: Build and mimic high-speed LiFi communication systems.

LiFi for Augmented and Virtual Reality (AR/VR)

Description: Discover the application of LiFi in supporting AR/VR environments, where low-latency and high-bandwidth communication is crucial for immersive experiences.

Key Features:

Execution of communication protocols optimized for AR/VR applications, focusing on minimizing latency and make sure seamless data transmission.
Emulation of AR/VR scenarios in indoor environments, where LiFi is used to transmit real-time video and audio data.
Evaluate the metrics such as latency, jitter, data quality, and impact on user experience.

Tools & Frameworks:

Custom AR/VR Modules in OMNeT++: Improve and mimic LiFi communication protocols for AR/VR applications.

Over this outline, we had executed the sample project examples are helps on how to approach the LiFi projects in OMNeT++. Further details shall be offered regarding this topic as per requires. In the field of LiFi we carry out all types of projects with detailed explanation and assist you with implementation steps.