Ad Hoc Protocol Projects Examples using NS2

Ad Hoc Protocol Projects Examples using NS2 project ideas for executing and examining with ad hoc routing protocols in NS2 (Network Simulator 2) are shared contact us to get yours now . These protocols are configured for wireless ad hoc networks like Mobile Ad Hoc Networks (MANETs), Vehicular Ad Hoc Networks (VANETs), and Wireless Sensor Networks (WSNs).

  1. Basic AODV (Ad hoc On-Demand Distance Vector) Protocol Simulation
  • Description: Establish the AODV protocol in NS2 and mimic a mobile ad hoc network (MANET). Evaluate key performance metrics like packet delivery ratio, end-to-end delay, and routing overhead in various mobility and traffic environments.
  • Objective: Study the functioning of AODV in dynamic networks where routes are generated on-requirements.
  1. Performance Comparison of AODV, DSR, and DSDV
  • Description: Imitate and compare the performance of AODV, DSR (Dynamic Source Routing), and DSDV (Destination-Sequenced Distance-Vector) protocols in NS2. Analyze their performance depend on routing overhead, packet delivery ratio, and delay in various mobility incidents.
  • Objective: Compare the performance of reactive (AODV, DSR) and proactive (DSDV) ad hoc routing protocols.
  1. Energy-Efficient AODV for Wireless Sensor Networks (WSNs)
  • Description: Alter AODV to attach energy-efficient routing decisions in wireless sensor networks. Accomplish this energy-aware AODV in NS2 and assess its performance in terms of energy utilization, network lifetime, and routing efficiency.
  • Objective: Improve AODV for energy-constrained networks like WSNs by minimizing energy usage during routing.
  1. QoS-Aware DSR Protocol for Real-Time Applications
  • Description: Attach the Quality of Service (QoS) metrics includes bandwidth and delay in its route selection process to optimize the DSR protocol. Imitate QoS-aware DSR in NS2 for realistic applications like video streaming and VoIP.
  • Objective: Offer better support for real-time applications by integrating QoS metrics in DSR’s route discovery process.
  1. Fault-Tolerant AODV for MANETs
  • Description: Launch fault-tolerant features for node or link failures by altering AODV. Emulate node and link failures in NS2 and assess how rapidly AODV recovers from these failures. Compute the influence on packet delivery, network recovery time, and routing overhead.
  • Objective: Improve AODV’s flexibility to failures and make sure less intrusion to communication in MANETs.
  1. Load Balancing with AODV in Large-Scale MANETs
  • Description: Establish a load-balancing technique in AODV that disperses traffic more evenly across several routes. Model this load-balanced AODV in NS2 in a large-scale MANET and assess its impact on throughput, delay, and network congestion.
  • Objective: Optimize AODV’s performance in large-scale networks by improving traffic distribution and minimizing congestion.
  1. Performance of OLSR (Optimized Link State Routing) in High-Density Networks
  • Description: Emulate OLSR in a high-density network scenario using NS2. Evaluate the protocol’s performance in terms of routing overhead, packet delivery ratio, and delay when the amount of nodes in the network maximizes.
  • Objective: Understand the scalability of OLSR in high-density incidents and assess how it manages congestion and improved network load.
  1. Hierarchical DSR for Large-Scale Ad Hoc Networks
  • Description: Develop a hierarchical version of DSR where nodes are structured into clusters or zones to decrease routing overhead in large-scale networks. Simulate hierarchical DSR in NS2 and assess its performance according to their scalability, routing efficiency, and control overhead.
  • Objective: Explore how hierarchical routing can optimize the scalability and performance of DSR in large networks.
  1. AODV with Mobility Prediction for Vehicular Ad Hoc Networks (VANETs)
  • Description: Optimize AODV with mobility prediction strategies to increase route stability in vehicular networks. Simulate a VANET scenario in NS2 with AODV and estimate its performance based on route stability, packet delivery ratio, and delay.
  • Objective: Improve AODV’s adaptability to highly dynamic environments like vehicular networks by combining mobility predictions.
  1. Energy-Aware DSDV for Wireless Sensor Networks
  • Description: Include energy-aware routing decisions in WSNs by fine-tuning the DSDV protocol. Emulate this energy-efficient DSDV in NS2 and assess its performance in terms of network lifetime, energy utilization, and packet delivery ratio.
  • Objective: Enhance DSDV for energy efficiency in sensor networks to prolong network lifetime and minimize energy utilization.
  1. Security-Enhanced AODV for MANETs
  • Description: Incorporate security mechanisms involves encryption and authentication into AODV to guard from general attacks like blackhole, wormhole, and DoS attacks. Imitate secure AODV in NS2 and evaluate its performance depend on security overhead, packet delivery ratio, and delay.
  • Objective: Improve AODV’s security to defend the network from different attacks while maintaining routing efficiency.
  1. ZRP (Zone Routing Protocol) Performance in Hybrid Ad Hoc Networks
  • Description: Configure the Zone Routing Protocol (ZRP) in NS2 and mimic it in a hybrid ad hoc network where some nodes are mobile and others are stationary. Compute the performance of ZRP based on routing overhead, packet delivery ratio, and delay under various zone radius set ups.
  • Objective: Evaluate the performance of ZRP in hybrid networks and understand how multiple zone radii influence the protocol’s efficiency.
  1. AOMDV (Ad hoc On-Demand Multipath Distance Vector) Protocol for Fault Tolerance
  • Description: Emulate AOMDV in NS2 to assess its capability to offer fault tolerance over numerous route discovery. Estimate the performance of AOMDV in terms of packet delivery ratio, route availability, and delay in networks with frequent link failures.
  • Objective: Know how multipath routing in AOMDV improves fault tolerance in ad hoc networks and enhances route availability.
  1. Greedy Perimeter Stateless Routing (GPSR) for Geographic Ad Hoc Networks
  • Description: Generate GPSR in NS2 and replicate its performance in a geographic ad hoc network, where nodes use location details for routing decisions. Inspect GPSR’s performance according to their routing efficiency, delay, and control overhead.
  • Objective: Get to know how GPSR leverages geographic information to increase routing efficiency and minimize control overhead in location-related ad hoc networks.
  1. Multicast Routing in Ad Hoc Networks Using ODMRP (On-Demand Multicast Routing Protocol)
  • Description: Set up ODMRP in NS2 and imitate a multicast communication incident in an ad hoc network. Measure the protocol’s performance in terms of multicast group maintenance, packet delivery ratio, and control overhead.
  • Objective: Cover the efficiency of multicast routing in ad hoc networks and assess how ODMRP manages group communication in dynamic scenarios.
  1. AODV vs. DSR vs. ZRP in Highly Mobile Networks
  • Description: Emulate and compare the performance of AODV, DSR, and ZRP in a highly mobile network using NS2. Assess metrics like packet delivery ratio, routing overhead, and delay in various mobility models (such as random waypoint, Manhattan grid).
  • Objective: Relate how reactive, proactive, and hybrid protocols manage mobility in highly dynamic networks.
  1. LEACH (Low-Energy Adaptive Clustering Hierarchy) vs. PEGASIS (Power-Efficient Gathering in Sensor Information Systems) in WSNs
  • Description: Model both LEACH and PEGASIS protocols in NS2 and compare their performance in terms of energy utilization, network lifetime, and data collection efficiency in wireless sensor networks.
  • Objective: Compare the performance of cluster-based and chain-based routing protocols for energy conservation in WSNs.

These project ideas cover different perspectives of ad hoc routing protocols, including performance, energy efficiency, scalability, fault tolerance, security, and mobility support.

The given brief approach will walk you through the necessary information regarding Ad hoc protocol projects and some sample examples including how to set up the simulation and how to compute the key metrics of every project’s performance using ns2 simulation.