SDN Projects Examples Using NS2

Software-Defined Networking (SDN) project examples using NS2 that discovers numerous contexts of SDN that has network optimization, resource management, security, traffic engineering, and performance analysis:

  1. Performance Comparison of Traditional Networks vs. SDN
  • Project Focus: Replicate a traditional network and an SDN-based network to compare their performance according to throughput, delay, and packet loss.
  • Objective: Evaluate how SDN enhance network performance by centralizing control and permitting dynamic configuration of network resources.
  • Metrics: Throughput, packet delivery ratio, end-to-end delay, and network overhead.
  1. QoS-Aware Traffic Management in SDN
  • Project Focus: Execute QoS-aware traffic management in SDN, in which the controller selects traffic according to service-level agreements (SLAs) and application requirements.
  • Objective: Learn on how SDN enthusiastically distributes resources and handle traffic to make sure low latency, high throughput, and minimal packet loss for critical applications.
  • Metrics: Latency, jitter, packet delivery ratio, throughput, and QoS satisfaction rate.
  1. Dynamic Load Balancing in SDN
  • Project Focus: Replicate dynamic load balancing in SDN, in which the controller shares network traffic evenly via multiple paths or switches to mitigate congestion.
  • Objective: Evaluate how dynamic load balancing enhance network performance, minimize delays, and enhance resource utilization.
  • Metrics: Load distribution efficiency, throughput, latency, and resource utilization.
  1. SDN-Based DDoS Attack Detection and Mitigation
  • Project Focus: Execute SDN-based security mechanisms to classify and prevent Distributed Denial of Service (DDoS) attacks by monitoring traffic patterns and blocking malicious flows.
  • Objective: Learn how SDN can efficiently identify DDoS attacks and reconfigure the network to prevent their impact.
  • Metrics: Attack detection time, mitigation success rate, network downtime, and packet loss during the attack.
  1. Energy-Efficient Routing in SDN
  • Project Focus: Execute energy-efficient routing techniques in SDN to reduce the power consumption of network devices by enhancing data paths.
  • Objective: Focus how SDN minimize energy consumption in data centres and large-scale networks by dynamically adapting traffic flows.
  • Metrics: Energy consumption, network throughput, packet delivery ratio, and delay.
  1. SDN for Data Center Network Optimization
  • Project Focus: Replicate SDN in a data centre environment to enhance network performance, resource allocation, and fault tolerance.
  • Objective: Evaluate how SDN enhance the scalability, flexibility, and performance of data centre networks by dynamically adapting network configurations.
  • Metrics: Throughput, resource utilization, latency, and fault recovery time.
  1. SDN-Based Network Virtualization
  • Project Focus: Execute network virtualization in SDN, in which the controller generates multiple virtual networks over a shared physical infrastructure.
  • Objective: Concentrate how SDN-based network virtualization enhances resource utilization, isolation among virtual networks, and flexibility in handling network resources.
  • Metrics: Network isolation, virtualization overhead, resource utilization, and throughput.
  1. SDN for IoT (Internet of Things) Networks
  • Project Focus: Replicate SDN-based IoT networks in which the controller handles and enhance communication among IoT devices.
  • Objective: measure on how SDN permits efficient resource allocation, security, and scalability in IoT networks with large numbers of connected devices.
  • Metrics: Device connectivity, packet delivery ratio, latency, and network scalability.
  1. Path Optimization in SDN
  • Project Focus: Execute path optimization techniques in SDN to enthusiastically identify the best routes for data transmission according to real-time network conditions.
  • Objective: Focus how SDN enhance path optimization, minimizing latency and increasing throughput by deliberating factors such as bandwidth, delay, and link utilization.
  • Metrics: Path selection time, packet delivery ratio, delay, and network throughput.
  1. Security Policy Enforcement in SDN
  • Project Focus: Execute security policy enforcement mechanisms in SDN to make sure that traffic follows to forecast security rules and policies.
  • Objective: Learn on how SDN implements security policies via the network; make sure that malicious or unauthorized traffic is blocked.
  • Metrics: Policy enforcement success rate, packet delivery ratio, delay, and network security level.
  1. SDN-Based Network Slicing for 5G
  • Project Focus: Mimic SDN-based network slicing, in which the controller generates separated network slices for diverse 5G applications such as eMBB, URLLC, mMTC.
  • Objective: measure on how SDN enables dynamic and flexible resource allocation for numerous use cases in 5G networks.
  • Metrics: Slice throughput, latency, resource utilization, and service-level satisfaction.
  1. Fault-Tolerant Network Design Using SDN
  • Project Focus: Execute fault-tolerant mechanisms in SDN in which the controller classify network failures and reroutes traffic to make sure service continuity.
  • Objective: Learn on how SDN enhances network resilience by dynamically adjusting to link or node failures.
  • Metrics: Fault detection time, recovery time, packet delivery ratio, and network downtime.
  1. Bandwidth Allocation in SDN
  • Project Focus: Replicate the bandwidth allocation mechanisms in SDN in which the controller enthusiastically adapts bandwidth allocation according to user demand and network conditions.
  • Objective: Concentrate how SDN enhance bandwidth allocation to make sure fairness and mitigate bottlenecks in high-traffic environments.
  • Metrics: Bandwidth utilization, fairness index, throughput, and packet delivery ratio.
  1. SDN-Based VANET (Vehicular Ad-Hoc Network) Management
  • Project Focus: Execute SDN to handle VANET communication, in which the controller dynamically routes vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) traffic.
  • Objective: Learn on how SDN enhance the effectiveness and scalability of vehicular communication in dynamic, high-mobility environments.
  • Metrics: Packet delivery ratio, routing overhead, latency, and vehicle connectivity.
  1. Traffic Engineering in SDN
  • Project Focus: Replicate traffic engineering mechanisms in SDN in which the controller dynamically adapt network paths to enhance traffic flow and minimize congestion.
  • Objective: Focus on how SDN permits efficient traffic engineering, enhancing network performance and minimizing latency by rerouting traffic in real-time.
  • Metrics: Throughput, network congestion, packet delivery ratio, and delay.
  1. Latency Reduction in SDN-Based Networks
  • Project Focus: Execute latency reduction approaches in SDN, in which the controller selects low-latency paths for time-sensitive applications like real-time video streaming and VoIP.
  • Objective: Measure on how SDN minimize network latency and enhance QoS for latency-sensitive applications.
  • Metrics: Latency, packet delivery ratio, jitter, and application performance.
  1. Intrusion Detection in SDN Using Machine Learning
  • Project Focus: Execute machine learning-based intrusion detection systems (IDS) in SDN to detect and prevent security attacks by measuring network traffic patterns.
  • Objective: Learn how machine learning approaches can improve the security of SDN by classifying anomalous behaviour in real-time.
  • Metrics: Detection accuracy, false positive rate, mitigation success rate, and network overhead.
  1. Network Automation in SDN
  • Project Focus: Execute network automation in SDN, in which the controller systematically setup and enhance network settings according to forecast guidelines and real-time conditions.
  • Objective: Learn how network automation enhances operational efficiency, minimize human intervention, and improves network performance.
  • Metrics: Automation efficiency, configuration time, packet delivery ratio, and throughput.
  1. Mobile Edge Computing with SDN
  • Project Focus: Replicate SDN-enabled mobile edge computing (MEC) networks, in which edge resources are handled by the controller to minimize delay and enhance service delivery for mobile users.
  • Objective: measure on how SDN enhance the performance of edge computing by enhancing resource allocation and minimizing the distance among users and computing resources.
  • Metrics: Latency, edge resource utilization, packet delivery ratio, and task completion time.
  1. SDN-Based Cloud Networking
  • Project Focus: Execute SDN to enhance cloud networking by handling data flows among cloud data centres and make sure the efficient resource utilization.
  • Objective: Understand how SDN enhance the performance, scalability, and resource management of cloud networks.
  • Metrics: Cloud resource utilization, latency, throughput, and network performance.

In the end of this manual, we all know and understood how the software defined network will perform in numerous kinds of scenarios by using ns2 tool and also we deliver the essential parameters and implementation process ideas were given. If you have any query regarding the SDN kindly ask we will help you to clarify.