The list of ns3 Wireless LANs projects for valuable research examples are discussed in this page. If you need help with ideas, topics, or implementation, reach out to us as we have all tools and necessary resources you can achieve good results. Below we had provided some examples of Wireless LANs (WLAN) projects using ns3 simulation and also discussed about the different scenarios of implementing LAN, its metrics, Tools, simulation setup and performance evaluation terms:
- Performance Evaluation of 802.11ac vs 802.11ax:
- Objective: The performance of IEEE 802.11ac (Wi-Fi 5) and IEEE 802.11ax (Wi-Fi 6) standards has been compared.
- Description:
- Simulation Setup: A WLAN scenario with both 802.11ac and 802.11ax configurations has been created.
- Metrics: Measure throughput, latency, packet delivery ratio, and network efficiency.
- Tools: To simulate 802.11ac and 802.11ax networks we had utilized the ns3’s Wi-Fi modules.
- Impact of Interference on WLAN Performance:
- Objective: we had investigated how interference from neighboring networks affects WLAN performance.
- Description:
- Simulation Setup: On overlapping channels we had created multiple WLANs operating.
- Techniques: we had implemented scenarios with different levels of interference and channel configurations.
- Metrics: Measure throughput, packet loss, and latency under various interference conditions.
- Tools: Use ns3’s interference models and Wi-Fi modules.
- Energy Efficiency in WLANs:
- Objective: For WLANs, we had developed and evaluated energy-efficient mechanisms.
- Description:
- Simulation Setup: we had simulated a WLAN with battery-powered devices.
- Techniques: Power-saving protocols such as 802.11 PSM (Power Save Mode) and adaptive power control has been implemented.
- Metrics: Measure energy consumption, network lifetime, and communication performance.
- Tools: we had utilized ns3’s energy models and Wi-Fi modules.
- Quality of Service (QoS) in WLANs:
- Objective: In WLANs, for different types of traffic we had ensured QoS.
- Description:
- Simulation Setup: we had created a WLAN with diverse traffic types, including video, voice, and data.
- Techniques: QoS mechanisms like Enhanced Distributed Channel Access (EDCA) and Traffic Differentiation has been implemented.
- Metrics: Measure latency, jitter, throughput, and packet loss for different traffic classes.
- Tools: Use ns3’s QoS and Wi-Fi modules.
- WLAN Security Protocols:
- Objective: we had evaluated the effectiveness of various WLAN security protocols.
- Description:
- Simulation Setup: A WLAN with potential security threats such as eavesdropping and unauthorized access has been simulated.
- Techniques: Security protocols like WPA2, WPA3, and 802.1X authentication has been implemented.
- Metrics: The impact of security protocols on latency, throughput, and security effectiveness has been measured.
- Tools: Utilize ns3’s security modules and Wi-Fi security configurations.
- Handoff and Roaming in WLANs:
- Objective: Study the handoff mechanisms and their impact on seamless roaming in WLANs.
- Description:
- Simulation Setup: we had created a network with multiple access points and mobile clients.
- Techniques: Fast handoff protocols like IEEE 802.11r (Fast BSS Transition) and analyze roaming performance has been implemented.
- Metrics: Measure handoff latency, packet loss during handoff, and overall network performance.
- Tools: Use ns3’s mobility and Wi-Fi modules.
- Throughput Enhancement in Dense WLANs:
- Objective: To enhance throughput in densely populated WLAN environments we had investigated techniques.
- Description:
- Simulation Setup: A dense WLAN with a high number of devices and access points has been simulated.
- Techniques: Techniques such as MU-MIMO (Multi-User MIMO), channel bonding, and dynamic frequency selection has been implemented.
- Metrics: Measure network throughput, latency, and user satisfaction.
- Tools: Utilize ns3’s Wi-Fi modules and advanced PHY layer features.
- WLAN Performance in Smart Homes:
- Objective: we had evaluated WLAN performance in a smart home environment with multiple IoT devices.
- Description:
- Simulation Setup: we had created a smart home network with various IoT devices connected to a WLAN.
- Techniques: Implement scenarios with different device densities and traffic patterns.
- Metrics: Measure throughput, latency, and network reliability in a smart home setup.
- Tools: Use ns3’s IoT and Wi-Fi modules.
- WLAN Mesh Networks:
- Objective: The performance of WLAN mesh networks has been developed and analyzed.
- Description:
- Simulation Setup: we had simulated a WLAN mesh network with multiple nodes and mesh points.
- Techniques: Mesh routing protocols like HWMP (Hybrid Wireless Mesh Protocol) and analyze network performance has been implemented.
- Metrics: Measure throughput, latency, and network coverage.
- Tools: Utilize ns3’s mesh networking and Wi-Fi modules.
- Adaptive Rate Control in WLANs:
- Objective: Adaptive rate control algorithms to optimize WLAN performance has been implemented and evaluated.
Here we have discussed about various scenarios involved in implementing the Wireless LANs like, Handoff and Roaming, Throughput enhancement in Dense, Energy Efficiency, Impact of Interference, security protocols, Adaptive Rate Control in WLANs using ns3.