Wireless Routing Protocol Projects Examples Using NS2

Wireless Routing Protocol Projects Examples Using NS2 – numerous project ideas for executing and experimenting are shared by us in this page. These projects cover a range of protocols like AODV, DSR, OLSR, and others intended for wireless environments such as Mobile Ad-Hoc Networks (MANETs), Wireless Sensor Networks (WSNs), and Vehicular Ad-Hoc Networks (VANETs).Share with us all your research details we are ready to aid you.

  1. Basic AODV (Ad hoc On-Demand Distance Vector) Simulation
  • Description: Execute and simulate the AODV protocol in NS2 for a mobile ad-hoc network (MANET). Measure the parameters like packet delivery ratio, end-to-end delay, and routing overhead in diverse node mobility scenarios.
  • Objective: Familiarising the working of AODV as an on-demand routing protocol and its appropriateness for highly dynamic networks.
  1. Performance Comparison of AODV, DSR, and DSDV
  • Description: Mimic and relate the performance of AODV, DSR (Dynamic Source Routing), and DSDV (Destination-Sequenced Distance Vector) in NS2. Estimate their performance based on packet delivery ratio, routing overhead and end-to-end delay in both static and mobile environments.
  • Objective: Compare reactive (AODV, DSR) and proactive (DSDV) protocols, measuring their assets and flaws in diverse network conditions.
  1. Energy-Efficient Routing in Wireless Sensor Networks using AODV
  • Description: Adapt the AODV protocol to integrate energy-aware metrics for route selection in Wireless Sensor Networks (WSNs). Mimic this energy-efficient AODV in NS2 and assess its performance based on energy consumption, network lifetime, and packet delivery ratio.
  • Objective: enhance AODV for energy efficiency in WSNs, in which conserving energy is vital to extend the network lifetime.
  1. QoS-Aware Routing in MANETs using DSR
  • Description: Improve the DSR protocol to support Quality of Service (QoS) by selecting routes with better bandwidth and delay metrics. Mimic QoS-aware DSR in NS2 for real-time applications like video streaming and VoIP.
  • Objective: Adjust DSR for delay-sensitive applications in MANETs; make certain high-quality service by allowing for QoS metrics for the duration of route discovery.
  1. Fault-Tolerant AODV for Wireless Networks
  • Description: Execute fault-tolerant mechanisms in AODV to enhance route recovery in the course of node or link failures. Mimic node failures in NS2 and evaluate how rapidly AODV recovers routes, measuring the effect on packet loss, recovery time, and control overhead.
  • Objective: improve AODV’s robustness in dynamic networks in which node or link failures are common.
  1. OLSR (Optimized Link State Routing) in High-Density Networks
  • Description: Replicate an OLSR in a high-density wireless network in NS2. Measure on how the protocol accomplishes in terms of routing overhead, packet delivery ratio, and end-to-end delay as the network density increases.
  • Objective: learn the scalability of OLSR and how it manages network congestion in densely populated wireless environments.
  1. AOMDV (Ad hoc On-Demand Multipath Distance Vector) in MANETs
  • Description: Execute AOMDV in NS2, a multipath version of AODV, to determine and maintain multiple paths among source and destination nodes. Measure AOMDV’s performance in terms of fault tolerance, packet delivery ratio, and route availability.
  • Objective: understand how multipath routing in AOMDV enhance reliability and fault tolerance in MANETs.
  1. Secure Routing in Wireless Networks using AODV
  • Description: Execute security mechanisms such as encryption and authentication in AODV to mitigate threats like blackhole, wormhole, and Sybil attacks. Replicate secure AODV in NS2 and measure its performance based on packet delivery ratio, routing overhead, and security.
  • Objective: Improve AODV’s security to secure wireless networks from common attacks, while evaluating the effects on routing efficiency.
  1. Vehicular Ad Hoc Networks (VANETs) using AODV and DSR
  • Description: Simulate AODV and DSR in a vehicular ad-hoc network (VANET) scenario using NS2. Evaluate their performance in terms of route stability, packet delivery ratio, and delay in high-mobility environments such as highways.
  • Objective: measure the appropriateness of AODV and DSR for VANETs and propose enhancements to manage the high mobility of vehicles.
  1. Energy-Aware Routing Protocols for Wireless Mesh Networks
  • Description: Implement and simulate an energy-aware routing protocol in NS2, such as an energy-efficient version of AODV or OLSR, for wireless mesh networks. Analyze the protocol’s performance in terms of energy consumption, network lifetime, and routing efficiency.
  • Objective: Explore how energy-aware routing can optimize the performance of wireless mesh networks by prolonging the lifetime of battery-powered nodes.
  1. ZRP (Zone Routing Protocol) for Hybrid Wireless Networks
  • Description: execute ZRP in NS2, a hybrid routing protocol that integrates both proactive and reactive methods. Mimic ZRP in a wireless network with changing node mobility and density, evaluating its performance based on control overhead, packet delivery ratio, and delay.
  • Objective: Discover how ZRP’s hybrid method balances the strengths of proactive and reactive protocols in diverse wireless network conditions.
  1. AODV with Mobility Prediction in VANETs
  • Description: Improve AODV with mobility prediction methods to increase route stability in vehicular networks. Mimic AODV with mobility prediction in a VANET scenario using NS2 and assess its performance according to route stability, packet delivery ratio, and delay.
  • Objective: enhance AODV’s performance in high-mobility environments by integrating mobility predictions into the route discovery process.
  1. Performance of Reactive Routing Protocols in Disaster Scenarios
  • Description: Replicate reactive routing protocols such as AODV, DSR in a disaster recovery environment using NS2, in which infrastructure is unavailable, and nodes must form an ad-hoc network. Measure the performance based on packet delivery ratio, delay, and routing overhead.
  • Objective: learn the efficiency of reactive routing protocols in disaster recovery circumstance that quickly and reliable communication is critical.
  1. Comparison of Proactive and Reactive Protocols in Wireless Networks
  • Description: Mimic proactive (e.g., OLSR) and reactive (e.g., AODV, DSR) routing protocols in NS2 and relate their performance based on control overhead, packet delivery ratio, and end-to-end delay in diverse network conditions like mobility, traffic load.
  • Objective: Familiarise the compromises among proactive and reactive routing protocols in wireless networks and classify scenarios in which one approach outperform the other.
  1. Dynamic Source Routing (DSR) with Energy Efficiency in WSNs
  • Description: Adapt DSR to integrate energy-aware route selection for Wireless Sensor Networks. Mimic this energy-efficient DSR in NS2 and assess its performance based on energy consumption, network lifetime, and packet delivery ratio.
  • Objective: Improve DSR for energy efficiency in WSNs, in which conserving node energy is necessary to expanding the network lifetime.
  1. Scalability of AODV in Large-Scale Wireless Networks
  • Description: mimic AODV in a large-scale wireless network using NS2 and measure its scalability according to routing overhead, packet delivery ratio, and delay as the network size increases.
  • Objective: Learn on how well AODV scales in large networks and offer potential optimizations for managing increased network size.
  1. Hierarchical Routing for Wireless Sensor Networks using LEACH
  • Description: Apply LEACH (Low-Energy Adaptive Clustering Hierarchy) in NS2 for a Wireless Sensor Network. Measure its performance based on energy consumption, network lifetime, and data aggregation effectiveness related to flat routing protocols such as AODV.
  • Objective: learn on how hierarchical routing in LEACH enhances energy efficiency and increase the lifetime of wireless sensor networks.
  1. Babel Routing Protocol in Wireless Mesh Networks
  • Description: Execute and mimic the Babel routing protocol in NS2 that is intended for wireless mesh networks. Measure Babel’s performance based on convergence time, packet delivery ratio, and control overhead, and compares it with protocols such as AODV and OLSR.
  • Objective: Discover how Babel manages the difficulties of wireless mesh networks and how it compares with other wireless routing protocols.
  1. Geographic Routing Protocol for Wireless Sensor Networks
  • Description: Execute and mimic a geographic routing protocol such as GPSR – Greedy Perimeter Stateless Routing in NS2 for WSNs. measure its performance based on routing efficiency, energy consumption, and packet delivery ratio related to traditional protocols such as AODV.
  • Objective: Learn how geographic information can enhance routing efficiency and minimize control overhead in WSNs.

These project ideas cover numerous contexts of wireless routing protocols in NS2 that concentrates on performance, energy efficiency, scalability, fault tolerance, and security in diverse wireless environments.

Overall, we had clearly obtainable the detailed description to perform the numerous wireless routing protocols projects samples were given above that were evaluated in ns2 implementation tool. We also further provide the detailed information that related to wireless routing protocols.