To simulate the Fisheye State Routing (FSR) protocol using OPNET that contains to configure a mobile ad hoc network (MANET) in which every node sustains the routing data with changing levels of detail according to the distance from the node. FSR is a proactive, hierarchical protocol created to minimize control message overhead within large networks by modernizing routing data with better granularity for neighbouring nodes and coarser granularity for distant nodes. Given below is a common approach to simulate FSR in OPNET:
Steps to Simulate Fisheye Protocol Projects in OPNET
- Initialize the Project and Network Topology
- Create a New Project: Initially, we open OPNET and make a new project, which choosing a MANET set up to denote a network along with mobile nodes.
- Define the Simulation Area: Describe the simulation area size such as an urban or open field in which nodes can travel freely. A larger area is optimal to emphasise FSR’s advantages, since it enhances the overhead in extensive networks.
- Add and Configure Mobile Nodes
- Place Mobile Nodes: Insert a number of mobile nodes through the simulation area that making a multi-hop network.
- Assign Mobility Models: Choose a mobility model for every node like Random Waypoint or Manhattan Grid, to replicate the movement. Describe parameters such as speed and pause time, since mobility will impact the routing table updates within FSR.
- Enable Fisheye State Routing (FSR) Protocol on Nodes
- Install FSR Protocol: If FSR is obtainable in the OPNET library then set up every node to utilize the FSR protocol. FSR functions by maintaining additional detailed routing data for neighbouring nodes and slowly less detail for nodes further away, which minimizing control message overhead.
- Configure FSR Parameters:
- Scope of Routing Updates: For routing updates, we can configure the scope that discovers the frequency and granularity of updates depends on the node distance. Nearer nodes obtain frequent updates, even though farther nodes obtain less frequent updates.
- Update Interval: For updating the routing tables relies on the proximity, describe the interval with shorter intervals for neighbouring nodes and longer intervals for distant nodes.
- Routing Table Size and Aging: Set up parameters relevant to the routing table size and entry aging to handle the routing data for an ideal balance among the exactness and overhead.
- Define Traffic Models
- Application Traffic: Utilize normal applications like VoIP, FTP, or HTTP to configure traffic flows replicating the network data exchange.
- Traffic Patterns: Describe the traffic sources and destinations through numerous distances such as short-range and long-range interaction. It will support to estimate the capability of FSR to sustain efficient routing along with enhanced overhead.
- Simulation Parameters and Scenarios
- Set Simulation Duration: Select a simulation time, which permits to monitor the performance of FSR such as routing updates, overhead reduction, and packet delivery performance.
- Create Multiple Scenarios: To completely estimate the FSR, we can experiment diverse situations:
- High Mobility vs. Low Mobility: Maximize node mobility to examine the behavior of FSR in highly dynamic networks and then monitor routing stability.
- Network Density: Enhance the node density observing how successfully FSR scales such as handling overhead and route accuracy.
- Fault Tolerance: For monitor how FSR reacts to topology modifications, launch link failures or node dropouts.
- Define Performance Metrics and Data Collection
- Key Metrics for FSR:
- Packet Delivery Ratio: Calculate the percentage of effectively distributed packets, which deliberating the efficiency routing of FSR.
- End-to-End Delay: Monitors the duration for data to move from source to destination that offering insights into routing efficiency.
- Routing Overhead: In the network, calculates the control message load. FSR targets to reduce it, so monitor it to observe how successfully it executes.
- Routing Table Accuracy: Estimates how effectively FSR sustains the exact routing data at diverse stages of detail.
- Latency of Routing Updates: Monitor the delay in modernizing routing tables for distant nodes and its impact on packet delivery.
- Data Collection Setup: Record these parameters along with a concentration on packet delivery, routing overhead, and end-to-end delay to estimate the behaviour of FSR using OPNET’s data collection tools.
- Run the Simulation and Analyze Results
- Execute the Simulation: Execute the replication then monitor how FSR handles the routing data and adjusts to node movement.
- Analyze Results: For metrics like packet delivery ratio, end-to-end delay, and routing overhead to make plots utilizing OPNET’s analysis tools. Concentrate on how successfully FSR minimizes control message traffic even though sustaining efficient routing.
In this manual, simulation approach to Fisheye Protocol projects is presented in an orderly method, which were simulated and analysed in OPNET tool. We are prepared to elaborate further if necessary.
We focus on neighboring nodes and utilize coarser granularity for distant nodes. Our technical team is dedicated to enhancing the performance of the Fisheye Protocol project, ensuring that we deliver the most relevant research topics in your field. We also specialize in configuring and simulating Fisheye Protocol projects using OPNET, guaranteeing optimal results for our clients.
