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IEEE 802.11 Wi-Fi Projects examples using omnet++

IEEE 802.11 Wi-Fi is a broadly used wireless networking standard that permits devices to connect to the internet and each other via a wireless local area network (WLAN). Given below are some project instances related to IEEE 802.11 Wi-Fi using OMNeT++:

  1. Performance Evaluation of IEEE 802.11 Protocol Variants

Description: Examine and liken the performance of various IEEE 802.11 protocol variants, such as 802.11a, 802.11b, 802.11g, 802.11n, and 802.11ac, under several network conditions.

Key Features:

  • Execution of different 802.11 standards with changing data rates, modulation schemes, and channel widths.
  • To emulate the scenarios with changing network sizes, traffic loads, and environmental conditions like interference, obstacles.
  • To estimate the metrics such as throughput, latency, packet loss, and signal quality.

Tools & Frameworks:

  • INET Framework: Use the INET framework in OMNeT++ to mimic and liken the performance of several IEEE 802.11 protocols.
  1. Quality of Service (QoS) in Wi-Fi Networks

Description: Discover QoS management methods in Wi-Fi networks to make sure that various kinds of traffic, such as VoIP, video streaming, and web browsing, receive suitable levels of service.

Key Features:

  • Execution of QoS mechanisms like Enhanced Distributed Channel Access (EDCA) and Traffic Differentiation.
  • To emulate the mixed traffic scenarios with various QoS requirements.
  • To evaluate the metrics such as latency, jitter, packet delivery ratio, and QoS compliance.

Tools & Frameworks:

  • INET Framework with QoS Extensions: Mimic QoS management strategies in Wi-Fi networks using OMNeT++.
  1. Wi-Fi Security Protocols

Description: Examine the effectiveness and vulnerabilities of Wi-Fi security protocols, like WEP, WPA, WPA2, and WPA3, in protecting wireless communication.

Key Features:

  • Execution of several security protocols and their associated encryption methods.
  • Emulation of attack scenarios, containing eavesdropping, brute-force attacks, and key reinstallation attacks (KRACK).
  • To assess the metrics such as security effectiveness, computational overhead, and impact on network performance.

Tools & Frameworks:

  • Custom Security Modules in OMNeT++: Improve and mimic Wi-Fi security mechanisms to examine their strengths and weaknesses.
  1. Mobility Management in Wi-Fi Networks

Description: Discover mobility management methods in Wi-Fi networks to make sure seamless handover and uninterrupted service as users move among access points (APs).

Key Features:

  • Execution of handover algorithms that handle the transition of devices among APs with minimal disruption.
  • Mimic of scenarios with varying levels of user mobility, network density, and traffic loads.
  • To calculate the metrics such as handover latency, packet loss, and connection stability.

Tools & Frameworks:

  • INET Framework with Mobility Extensions: Mimic mobility management strategies in Wi-Fi networks using OMNeT++.
  1. Channel Allocation and Interference Management in Wi-Fi Networks

Description: Inspect channel allocation and interference management strategies to enhance the performance of dense Wi-Fi networks.

Key Features:

  • Execution of dynamic channel selection and power control algorithms to minimize co-channel and adjacent-channel interference.
  • Emulation of scenarios with changing numbers of APs, overlapping coverage areas, and traffic demands.
  • To measure the metrics like signal-to-interference-plus-noise ratio (SINR), throughput, and network efficiency.

Tools & Frameworks:

  • Custom Channel Management Modules in OMNeT++: Improve and mimic channel allocation strategies for Wi-Fi networks.
  1. Energy Efficiency in Wi-Fi Networks

Description: Discover energy-efficient communication strategies for Wi-Fi networks to expand the battery life of mobile devices whereas maintaining high network performance.

Key Features:

  • Execution of power-saving mechanisms like Power Save Mode (PSM) and adaptive transmission power control.
  • To mimic the scenarios with changing network loads, device mobility, and energy constraints.
  • To evaluate the metrics such as energy consumption, network lifetime, and data delivery success rate.

Tools & Frameworks:

  • Custom Energy Modules in OMNeT++: Expand and mimic energy-efficient strategies for Wi-Fi networks.
  1. Wi-Fi Mesh Networks

Description: Examine the design and performance of Wi-Fi mesh networks, where numerous APs work together to extend wireless coverage via a larger area.

Key Features:

  • Execution of mesh networking protocols, like Hybrid Wireless Mesh Protocol (HWMP), to handle communication among APs and clients.
  • To emulate with changing network sizes, node mobility, and traffic patterns.
  • To measure the metrics such as network throughput, latency, and coverage area.

Tools & Frameworks:

  • INET Framework with Mesh Networking Extensions: Mimic Wi-Fi mesh networks using OMNeT++.
  1. Wi-Fi Offloading in Heterogeneous Networks

Description: Discover the use of Wi-Fi offloading to relieve congestion on cellular networks by directing data traffic via available Wi-Fi networks.

Key Features:

  • Execution of offloading algorithms that intelligently switch among cellular and Wi-Fi networks based on factors such as signal strength, data rates, and network congestion.
  • Emulation of scenarios with changing levels of cellular network congestion, Wi-Fi availability, and user mobility.
  • To evaluate the metrics such as network throughput, user experience, and energy consumption.

Tools & Frameworks:

  • INET Framework with Offloading Extensions: Build and mimic Wi-Fi offloading strategies in heterogeneous networks.
  1. Wi-Fi Network Scalability

Description: Inspect the scalability of Wi-Fi networks as the number of connected devices and the amount of traffic increases, aiming on maintaining performance and reliability.

Key Features:

  • Execution of scalable network architectures and protocols that adjust to growing numbers of users and traffic demands.
  • To emulate the scenarios with changing network sizes, device densities, and traffic loads.
  • To compute the metrics such as network throughput, latency, and resource utilization.

Tools & Frameworks:

  • Custom Scalability Modules in OMNeT++: Expand and mimic scalability strategies for Wi-Fi networks.
  1. Wi-Fi Network Simulation for Smart Homes

Description: Discover the deployment and performance of Wi-Fi networks in smart home environments, where many IoT devices connect to the network.

Key Features:

  • Execution of communication protocols optimized for IoT devices, aiming on low power consumption, scalability, and data reliability.
  • To mimic the smart home scenarios with changing numbers of connected devices, traffic patterns, and network interference.
  • To analysis the metrics such as data delivery success rate, network latency, and energy efficiency.

Tools & Frameworks:

  • INET Framework with IoT Extensions: Improve and mimic Wi-Fi networks for smart home applications.

In conclusion, we comprehensively provided the brief demonstration on how to approach the projects using IEEE 802.11 Wi-Fi and their instances which is executed in OMNeT++ environment. We plan to offer additional examples over another manual, if needed.

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