Analysis of Underwater Energy Distance Aware Multipath Routing

Performance Analysis of Underwater Energy and Distance Aware Multipath Routing

Implementation plan:
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Scenario 1:(with AODV)
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Step 1: Initially, we constructed an underwater network with customizable number of sensor nodes, 1 sink node, and 1 control station.(you can change the number of nodes count in omnetpp.ini file , Also, source nodes , simulation time)

Step 2: Next, we simulate the network to view communication between the nodes.

Step 3: Next, we implement the AODV protocol to include node position, energy, and multipath routing for improved fault tolerance and load balancing. >>

Step 4 Finally, we plot performance for the following metrics :

4.1: Number of Sensor Nodes vs. Throughput (Kbps)
4.2: Number of Sensor Nodes vs. Latency (ms)
4.3: Number of Sensor Nodes vs. Energy Consumption (J)
4.4: Number of Sensor Nodes vs. Packet Delivery Ratio (%)
4.5: Pause Time (ms) vs. Throughput (Kbps)
4.6: Pause Time (ms) vs. Normalized Overhead (%)
4.7: Pause Time (ms) vs. Number of Alive Nodes
4.8: Throughput (Kbps) vs. Node Speed (m/s)
4.9: Number of Sensor Nodes vs. Network Lifetime (s)

Scenario 2:(with Modified AODV)
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Step 1: Initially, we constructed an underwater network with customizable number of sensor nodes, 1 sink node, and 1 control station.(you can change the number of nodes count in omnetpp.ini file)

Step 2: Next, we simulate the network to view communication between the nodes.

Step 3: Next, we implement Modify the AODV protocol to include node position, energy, and multipath routing for improved fault tolerance and load balancing.

Step 4 Finally, we plot performance for the following metrics :

4.1: Number of Sensor Nodes vs. Throughput (Kbps)
4.2: Number of Sensor Nodes vs. Latency (ms)
4.3: Number of Sensor Nodes vs. Energy Consumption (J)
4.4: Number of Sensor Nodes vs. Packet Delivery Ratio (%)
4.5: Pause Time (ms) vs. Throughput (Kbps)
4.6: Pause Time (ms) vs. Normalized Overhead (%)
4.7: Pause Time (ms) vs. Number of Alive Nodes
4.8: Throughput (Kbps) vs. Node Speed (m/s)
4.9: Number of Sensor Nodes vs. Network Lifetime (s)

Scenario 3:(with DBR)
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Step 1: Initially, we constructed an underwater network with customizable number of sensor nodes, 1 sink node, and 1 control station.(you can change the number of nodes count in omnetpp.ini file)

Step 2: Next, we simulate the network to view communication between the nodes.

Step 3: Next, we implement DBR protocol to include node position, energy, and multipath routing for improved fault tolerance and load balancing.

Step 4 Finally, we plot performance for the following metrics :

4.1: Number of Sensor Nodes vs. Throughput (Kbps)
4.2: Number of Sensor Nodes vs. Latency (ms)
4.3: Number of Sensor Nodes vs. Energy Consumption (J)
4.4: Number of Sensor Nodes vs. Packet Delivery Ratio (%)
4.5: Pause Time (ms) vs. Throughput (Kbps)
4.6: Pause Time (ms) vs. Normalized Overhead (%)
4.7: Pause Time (ms) vs. Number of Alive Nodes
4.8: Throughput (Kbps) vs. Node Speed (m/s)
4.9: Number of Sensor Nodes vs. Network Lifetime (s)

Scenario 4:(with DSR)
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Step 1: Initially, we constructed an underwater network with customizable number of sensor nodes, 1 sink node, and 1 control station.(you can change the number of nodes count in omnetpp.ini file)

Step 2: Next, we simulate the network to view communication between the nodes.

Step 3: Next, we implement DSR protocol to include node position, energy, and multipath routing for improved fault tolerance and load balancing.

Step 4 Finally, we plot performance for the following metrics :

4.1: Number of Sensor Nodes vs. Throughput (Kbps)
4.2: Number of Sensor Nodes vs. Latency (ms)
4.3: Number of Sensor Nodes vs. Energy Consumption (J)
4.4: Number of Sensor Nodes vs. Packet Delivery Ratio (%)
4.5: Pause Time (ms) vs. Throughput (Kbps)
4.6: Pause Time (ms) vs. Normalized Overhead (%)
4.7: Pause Time (ms) vs. Number of Alive Nodes
4.8: Throughput (Kbps) vs. Node Speed (m/s)
4.9: Number of Sensor Nodes vs. Network Lifetime (s)

Scenario 5:(with EEDBR)
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Step 1: Initially, we constructed an underwater network with customizable number of sensor nodes, 1 sink node, and 1 control station.(you can change the number of nodes count in omnetpp.ini file)

Step 2: Next, we simulate the network to view communication between the nodes.

Step 3: Next, we implement EEDBR protocol to include node position, energy, and multipath routing for improved fault tolerance and load balancing.

Step 4 Finally, we plot performance for the following metrics :

4.1: Number of Sensor Nodes vs. Throughput (Kbps)
4.2: Number of Sensor Nodes vs. Latency (ms)
4.3: Number of Sensor Nodes vs. Energy Consumption (J)
4.4: Number of Sensor Nodes vs. Packet Delivery Ratio (%)
4.5: Pause Time (ms) vs. Throughput (Kbps)
4.6: Pause Time (ms) vs. Normalized Overhead (%)
4.7: Pause Time (ms) vs. Number of Alive Nodes
4.8: Throughput (Kbps) vs. Node Speed (m/s)
4.9: Number of Sensor Nodes vs. Network Lifetime (s)

Software Requirement:
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1. Development Tool: OMNeT++ 6.0 or above
2. Operating System: Windows 10 (64-bit) or above

Note
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1) If the plan does not meet your requirements, provide detailed steps, parameters, models, or expected results in advance. Once implemented, changes won’t be possible without prior input; otherwise, we’ll proceed as per our implementation plan.

2) If the plan satisfies your requirement, Please confirm with us.

3) Project based on Simulation only, not a real time project.

4) Please understand that any modifications made to the confirmed implementation plan will not be made after the project development.

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