Network Routing Projects examples using omnet++

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In the below, we provided several examples of network routing projects that you can explore using OMNeT++:

1. Dynamic Source Routing (DSR) in Mobile Ad Hoc Networks (MANETs)

Description: Evaluate the performance based on route discovery, route maintenance and entire network efficiency by replicating the Dynamic Source Routing (DSR) protocol in a MANET environment.

Key Features:

• Execution of DSR protocol containing route discovery and route maintenance processes.
• Replication of node mobility and its effect on routing performance.
• Evaluation of metrics like packet delivery ratio, end-to-end delay, and routing overhead.

Tools & Frameworks:

• INET Framework: Helps DSR and other ad hoc routing protocols, making it appropriate for MANET simulations.

2. Optimized Link State Routing (OLSR) in Wireless Mesh Networks

Description: Assess the efficiency of upholding routes in a dynamic network topology by simulating the Optimized Link State Routing (OLSR) protocol in a wireless mesh network.

Key Features:

• Applying of OLSR with MultiPoint Relays (MPR) for enhanced broadcasting.
• Simulation of network scalability with changing node densities and traffic loads.
• Assessment of performance depends on the route convergence time, control overhead, and network throughput.

Tools & Frameworks:

• INET Framework: Contains OLSR helps and offers tools for replicating wireless mesh networks.

3. Routing in Vehicular Ad Hoc Networks (VANETs)

Description: Examine the performance of various routing protocols in VANETs, where high mobility and dynamic topologies present distinct threats.

Key Features:

• Imitation of routing protocols like AODV, DSR, and GPSR (Greedy Perimeter Stateless Routing).
• Execution of realistic vehicular mobility models using tools like SUMO.
• Assessment of metrics includes packet delivery ratio, latency, and routing stability in urban and highway scenarios.

Tools & Frameworks:

• Veins: Incorporates OMNeT++ with SUMO, making it suitable for VANET imitations with routing protocol analysis.

4. Energy-Efficient Routing in Wireless Sensor Networks (WSNs)

Description: Building and analysing energy-efficient routing protocols for WSNs to prolong network lifetime while upholding dependable communication.

Key Features:

• Applying the protocols like LEACH (Low-Energy Adaptive Clustering Hierarchy), PEGASIS, or custom energy-efficient routing algorithms.
• Simulation of network scenarios with various node energy levels and traffic patterns.
• Evaluation of network performance based on the energy utilization, network lifetime, and packet delivery ratio.

Tools & Frameworks:

• Castalia: A recreation framework for WSNs that contains models for energy-efficient routing protocols.

5. Quality of Service (QoS) Routing in IP Networks

Description: Ensure various kinds of traffic (for instance: VoIP, video streaming, file transfers) can meet the QoS requirements by mimicking the QoS-aware routing protocols in IP networks.

Key Features:

• Execution of QoS routing algorithms that arrange traffic based on bandwidth, delay, jitter, and packet loss.
• Simulation of network scenarios with mixed traffic types and changing QoS requirements.
• Assessment of network performance in terms of QoS metrics and overall resource consumption.

Tools & Frameworks:

• INET Framework with QoS Extensions: Helps QoS routing and delivers tools for imitating IP networks with QoS demands.

6. Multipath Routing in Wireless Networks

Description: Finding multipath routing protocols in wireless networks, where numerous paths are used to improve redundancy, consistency, and load balancing.

Key Features:

• Execution of protocols like AOMDV (Ad hoc On-Demand Multipath Distance Vector) or SMR (Split Multipath Routing).
• Mock-up the network situations with various traffic loads and mobility patterns.
• Performance estimation is depends on throughput, delay, and path redundancy.

Tools & Frameworks:

• INET Framework: Helps multipath routing protocols and offers tools for wireless network mimicking.

7. Hierarchical Routing in Large-Scale Networks

Description: Emulating hierarchical routing protocols configured for large-scale networks, like those used in the Internet or large enterprise networks.

Key Features:

• Execution of hierarchical routing protocols like OSPF (Open Shortest Path First) with area-based routing or BGP (Border Gateway Protocol) for inter-domain routing.
• Replication of large network topologies with several routing domains.
• Evaluation of metrics like routing efficiency, convergence time, and scalability.

Tools & Frameworks:

• INET Framework: Has supports for OSPF, BGP, and other hierarchical routing protocols.

8. Routing in Software-Defined Networking (SDN)

Description: Examine the performance of routing in SDN environments, where the control plane is detached from the data plane, allowing centralized network handling.

Key Features:

• Applying of SDN controllers that handle routing decisions according to the global network knowledge.
• Imitation of dynamic routing and traffic engineering in reacts to network variations.
• Estimation of performance like routing convergence time, control overhead, and network resilience.

Tools & Frameworks:

• OMNeT++ with INET and SDN Modules: Incorporate available protocols and create custom modules for SDN-specific routing mechanisms.

9. Routing in Delay Tolerant Networks (DTNs)

Description: Mocking routing protocols in DTNs, where recurrent connectivity and long delays are usual like in space communications or disaster recovery networks.

Key Features:

• Execution of store-and-forward routing protocols like Epidemic Routing, PRoPHET, or Spray and Wait.
• Simulation of scenarios with changing degrees of linkage and node mobility.
• Assessing network performance in terms of delivery success rate, latency, and buffer management.

Tools & Frameworks:

• INET Framework with DTN Extensions: Include DTN-specific routing protocols and situations by extending INET.

10. Ant Colony Optimization (ACO)-Based Routing

Description: Executing and replicating ant colony optimization-based routing protocols, enthused by the foraging actions of ants, to explore optimal paths inside the network.

Key Features:

• Applying the ACO algorithms in which the artificial ants find network paths and deposit pheromones to escort upcoming routing decisions.
• Mimic the dynamic network environments with changing traffic loads.
• Assessment of routing efficiency, path optimality, and flexibility to network changes.

Tools & Frameworks:

• Custom Extensions in OMNeT++: Create ACO-based routing protocols and incorporates them into the simulation framework.

Throughout this sample projects, we delivered the several examples relevant to the Network Routing using OMNeT++ tool including their definition, implementation and assessment. If needed, we will deliver other examples of network routing for you.