To simulate the Fisheye State Routing (FSR) protocol using OMNeT++, we can discover its unique routing techniques, that minimizes routing overhead by distribute detailed routing information more frequently for nearby nodes and less frequently for distant ones. These kinds of FSR particularly appropriate for mobile ad hoc networks (MANETs) in which scalability is vital.
Here’s how to set up and simulate fisheye protocol projects using OMNeT++:
Steps to Simulate Fisheye Protocol Projects in OMNeT++
- Set up OMNeT++ and INET Framework
- Install OMNeT++: Make sure that we have the latest version installed on the system.
- Install INET Framework: Since INET has contain numerous routing protocols, FSR is not directly supported, so we need to adjust existing distance-vector protocols or execute FSR from scratch using INET’s modules for custom routing protocols.
- Configure Network Nodes for FSR
- Mobile Nodes: Configure nodes with wireless interfaces that can move inside the simulation area. These nodes should be setup to interchange the routing information according to proximity.
- Traffic Sources: Describe nodes to create traffic inside the network. we need to utilize the applications such as UDPApp or TCPApp to generate realistic communication patterns between nodes.
- Node Mobility: Set up nodes to move around the network, by way of FSR’s efficiency relay on adjusting to changes in topology.
- Implement the Fisheye State Routing Mechanism
- Routing Information Sharing:
- Nodes should trade off the detailed data on more frequently for closer nodes and less frequently for nodes that are further away.
- This can be executed by setting multiple update intervals according to “scopes” or ranges (e.g., 1-hop, 2-hop, etc.), with longer intervals for more distant nodes.
- Scope Management: Describe different scopes for routing updates. For example, within a 1-hop scope, updates can happen every few seconds, while for nodes 2-hops away, updates are less frequent.
- Partial Routing Table Updates: Execute partial updates according to scopes, so that each node only distribute relevant parts of its routing table relay on the distance to its neighbours.
- Define Network Topology and Mobility Models
- Random Node Placement: Distribute nodes randomly inside a certain area, forming a mesh network in which each node depend on others for routing decisions.
- Random Waypoint Mobility Model: This ideal mimics realistic node movements in a network area, generating a dynamic environment in which the routing updates are essential.
- Variable Node Density: Validate FSR’s performance in networks with changing node densities to see how well it scales in sparse versus dense topologies.
- Simulate FSR Protocol Operations
- Local and Global Update Frequency: Set up local updates to happen more frequently than global updates, enabling nodes to select accurate routes for nearby nodes.
- Route Maintenance and Adaptation: Track on how FSR adapt to node mobility, concentrates on the balance among update frequency and routing accuracy.
- Distance-Based Information Granularity: Make sure that routing information detail decreases by way of distance increases, enabling the FSR to minimize routing overhead while maintaining local accuracy.
- Monitor and Collect Simulation Data
- Routing Overhead: Evaluate the control message overhead linked with frequent and infrequent updates, relates it with that of other protocols such as OLSR or DSR.
- Packet Delivery Ratio: Monitor the percentage of packets successfully delivered, that implicates FSR’s efficiency in maintaining accurate routes in dynamic conditions.
- Average Hop Count: Record the number of hops for packets traveling among the nodes evaluates the impacts of FSR’s distance-based updates on routing efficiency.
- Analyse and Visualize Simulation Results
- Route Update Visualization: Utilize OMNeT++ visualization tools to monitor the frequency and scope of route updates, authorizing that local routes are updated more frequently than distant ones.
- Traffic Flow and Latency: Assess on how well FSR handles traffic flow concentrates on the latency among nodes based on their proximity.
- Scalability Analysis: plot graphs relate the routing overhead and packet delivery ratios for diverse network sizes and node densities.
- Generate Reports and Graphs
- Control Overhead vs. Scope Range: A plot graph demonstrates on how the control overhead changes with changing scope ranges, showing FSR’s scalability.
- Packet Delivery Ratio vs. Node Mobility: generate the packet delivery ratio in diverse mobility scenarios to evaluate FSR’s reliability in dynamic networks.
- Hop Count Distribution: Envision the average hop count for packets, relates it with the optimal path to evaluate routing efficiency.
- Advanced Scenarios and Customization (Optional)
- Energy Efficiency: Monitor energy usage for control and data message exchanges, particularly significant in resource-constrained environments such as WSNs.
- Adaptive Update Frequency: Execute adaptive update frequencies in terms of network conditions, like increased update frequency during high mobility.
- Performance Comparison with Other Protocols: Relate FSR’s performance with protocols such as OLSR or AODV, concentrates on routing overhead, scalability, and packet delivery ratios.
We demonstrated the basic process with detailed explanation for Fisheye State Routing protocols simulated and evaluated the results using the tool of OMNeT++ tool and the additional details regarding this process will be added later.
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