Network Projects Examples Using NS2

Network projects examples using ns2, which cover various features of the networking with routing, security, performance optimization, and Quality of Service (QoS) are listed below, contact ns2project.com to get best thesis ideas along with writing service:

  1. Performance Comparison of Routing Protocols in Ad-hoc Networks
  • Project Focus: Compare and mimic various ad-hoc routing protocols like AODV (Ad-hoc On-Demand Distance Vector), DSR (Dynamic Source Routing), and DSDV (Destination-Sequenced Distance-Vector).
  • Objective: Examine the performance of these protocols such as packet delivery ratio, delay, and routing overhead under differing the mobility conditions.
  • Metrics: Packet delivery ratio, end-to-end delay, routing overhead, and throughput.
  1. QoS Support in Wireless Networks
  • Project Focus: Execute the QoS-aware routing and packet scheduling mechanisms within wireless networks to prioritize real-time traffic like VoIP and video streaming.
  • Objective: Understand how various QoS methods make certain that low latency, jitter, and packet loss for time-sensitive traffic.
  • Metrics: Latency, jitter, packet loss, and bandwidth utilization.
  1. Congestion Control Mechanisms in TCP/IP Networks
  • Project Focus: Compare and replicate various congestion control algorithms like TCP Reno, TCP Vegas, and TCP Tahoe in the wired or wireless network.
  • Objective: Assess the effectiveness of these algorithms in handling the network congestion and make sure reliable communication.
  • Metrics: Throughput, packet loss, delay, and congestion window size.
  1. Energy-Efficient Routing in Wireless Sensor Networks (WSNs)
  • Project Focus: Execute energy-aware routing protocols like LEACH (Low-Energy Adaptive Clustering Hierarchy) to minimise the energy consumption in sensor nodes.
  • Objective: Know how energy-efficient routing protocols can be extended the network lifetime in resource-constrained WSNs.
  • Metrics: Energy consumption, network lifetime, packet delivery ratio, and delay.
  1. Handover in Mobile Networks
  • Project Focus: Mimic a handover mechanisms in mobile networks like horizontal (intra-cellular) and vertical handover (among numerous network types, e.g., Wi-Fi to LTE).
  • Objective: Investigate the effect of handover mechanisms on the service continuity and overall network performance.
  • Metrics: Handover delay, packet loss during handover, throughput, and signal strength.
  1. Traffic Management in Internet of Things (IoT) Networks
  • Project Focus: Execute the traffic management and congestion control mechanisms within IoT networks in which several devices are generate data concurrently.
  • Objective: Make certain that efficient data transmission in IoT networks by preventing congestion and handling the traffic.
  • Metrics: Packet delivery ratio, delay, congestion occurrence, and throughput.
  1. Security Mechanisms in Wireless Networks
  • Project Focus: Replicate security protocols like encryption, authentication, and intrusion detection systems (IDS) within wireless networks.
  • Objective: Understand the influence of security mechanisms on network performance and its efficiency in mitigating security threats.
  • Metrics: Security breach detection rate, encryption overhead, packet delivery ratio, and delay.
  1. Load Balancing in Data Center Networks
  • Project Focus: Imitate load balancing algorithms in data center networks to deliver the traffic efficiently over servers and minimize the bottlenecks.
  • Objective: Enhance the distribution of network traffic to enhance the overall performance and then minimize response time in data centers.
  • Metrics: Load distribution efficiency, server response time, packet delivery ratio, and throughput.
  1. Video Streaming in Wireless Networks
  • Project Focus: Replicate video streaming applications across wireless networks and estimate the behaviour of adaptive bitrate streaming methods.
  • Objective: Concentrate on how adaptive streaming can be enhanced video quality and minimize the buffering time in changing network conditions.
  • Metrics: Video quality (resolution), buffering time, packet delivery ratio, and bandwidth utilization.
  1. Performance of MANETs with Different Mobility Models
  • Project Focus: Imitate Mobile Ad-Hoc Networks (MANETs) with various mobility models like Random Waypoint, Random Walk, and Manhattan Grid.
  • Objective: Estimate the effect of node mobility on the performance of routing protocols within MANETs.
  • Metrics: Packet delivery ratio, delay, route stability, and network partition frequency.
  1. Wireless Sensor Networks for Environmental Monitoring
  • Project Focus: Mimic a WSN situation for environmental monitoring (e.g., pollution detection, weather forecasting) in which sensor nodes are send and gather the data.
  • Objective: Focus on the performance of WSN such as data collection, energy consumption, and communication reliability.
  • Metrics: Data delivery success rate, energy consumption, network lifetime, and packet loss.
  1. VoIP Performance over Wireless and Wired Networks
  • Project Focus: Replicate VoIP communication across the wireless (Wi-Fi) and wired networks and compare the performance such as delay, jitter, and packet loss.
  • Objective: Examine the factors are influencing the VoIP quality in both wireless and wired environments.
  • Metrics: Delay, jitter, packet loss, and Mean Opinion Score (MOS) for VoIP quality.
  1. Multi-Path Routing in Wireless Networks
  • Project Focus: Execute and imitate the multi-path routing protocols within wireless networks to improve the fault tolerance and load balancing.
  • Objective: Learn how multi-path routing enhances the network reliability and performance by delivering another paths for data transmission.
  • Metrics: Packet delivery ratio, delay, route discovery time, and network throughput.
  1. Vehicular Ad-Hoc Networks (VANETs) Simulation
  • Project Focus: Replicate the VANETs in which vehicles communicate with each other and roadside infrastructure (V2V and V2I communication).
  • Objective: Concentrate on how VANETs improve the road safety and enhance traffic management by allowing real-time communication amongst the vehicles.
  • Metrics: Packet delivery ratio, delay, vehicle connectivity, and system response time.
  1. Wireless Mesh Networks Performance Analysis
  • Project Focus: Mimic a wireless mesh network and estimate the performance of various routing protocols such as HWMP (Hybrid Wireless Mesh Protocol) and AODV.
  • Objective: Learn how wireless mesh networks can be delivered robust and scalable communication in areas with poor structure.
  • Metrics: Packet delivery ratio, delay, throughput, and network reliability.
  1. Energy Harvesting in Wireless Sensor Networks
  • Project Focus: Replicate an energy harvesting-enabled WSNs that sensor nodes are harvest energy from the environmental sources such as solar, wind.
  • Objective: Assess the performance of energy-harvesting methods in extending the network lifetime of WSNs.
  • Metrics: Energy harvested, node lifetime, data transmission success rate, and network coverage.
  1. Cluster-Based Routing in Wireless Networks
  • Project Focus: Execute the cluster-based routing protocols such as LEACH in wireless networks to enhance the scalability and energy efficiency.
  • Objective: Concentrate on how clustering enhances the routing efficiency, then minimize routing overhead, and expands the network lifetime.
  • Metrics: Cluster formation time, routing overhead, energy consumption, and packet delivery ratio.
  1. Delay Tolerant Networks (DTN) for Disaster Recovery
  • Project Focus: Replicate a Delay Tolerant Network (DTN) for disaster recovery that intermittent connectivity and long delays are usual.
  • Objective: Understand how DTN protocols such as Epidemic Routing or Spray and Wait can make certain message delivery in challenging environments.
  • Metrics: Message delivery ratio, delay, buffer occupancy, and network overhead.
  1. Wireless LAN (WLAN) Performance Analysis
  • Project Focus: Mimic a WLAN situation with several users accessing the network and examine the performance under various traffic loads.
  • Objective: Focus on how factors such as network size, user mobility, and traffic patterns influence the performance of WLANs.
  • Metrics: Throughput, latency, packet loss, and bandwidth utilization.
  1. Network Security Simulation: DDoS Attack Detection and Prevention
  • Project Focus: Replicate a network situation in which a Distributed Denial of Service (DDoS) attack happens and execute the detection then prevention mechanisms.
  • Objective: Concentrate on the effect of DDoS attacks on network performance and compute the efficiency of several prevention methods.
  • Metrics: Attack detection rate, packet loss, network downtime, and mitigation response time.

In this explained manual, we had provided some example projects about the Network Projects that containing the implementation, their assessment process and metrics using the NS2 simulation tool. Furthermore, we will also offer the various instances based on your requirements.