Performance Analysis of MPLS ROACM Protocols IoT Networks

Performance Analysis of MPLS and ROACM Protocols for High Speed IoT Networks

Implementation plan:

Scenario 1 Using MPLS

Step 1: Initially, we constructed an MPLS wired network with 50 IOT Nodes, 10 Routers and 4 Switches .

Step 2: Next, we implement standard MPLS forwarding logic and a novel high-speed frame structure mechanism.

Step 3: Next, we configured the second model’s routers to perform only control field, path, and simulating cross-connect behavior.

Step 4: Next, we generated high-bandwidth traffic in the network to evaluate network load handling capability

Step 5: Next, we route the network using MPLS protocol for efficient label-based packet forwarding and reduced lookup time at each router.

Step 6: Finally, we plot performance for the following metrics:

6.1: Number of IOT Nodes vs. Throughput (Mbps)
6.2: Number of IOT Nodes vs. Latency (ms)
6.3: Number of IOT Nodes Vs. Queue Length(packets)
6.4: Number of IoT Nodes vs. Transmission Speed (Mbps)
6.5: Number of IoT Nodes vs. Packet Drop Rate (%)

Scenario 2: Using ROACM with CRC

Step 1: Initially, we constructed a ROACM wired network with 50 IOT Nodes, 10 Routers and 4 Switches.

Step 2: Next, we implemented standard forwarding logic and a novel high-speed frame structure with a short CRC mechanism under the ROACM control scheme.

Step 3: Next, we configured the routers in the second model to perform only control field, path selection, and CRC computations at each hop, simulating cross-connect behavior optimized by ROACM.

Step 4: Next, we generated high-bandwidth traffic in the network to evaluate network load handling capability.

Step 5: Next, we routed the network using the ROACM protocol for adaptive, label-free, learning-based packet forwarding, aiming for reduced lookup time and congestion-aware routing

Step 6: Finally, we plot performance for the following metrics:

6.1: Number of IOT Nodes vs. Throughput (Mbps)
6.2: Number of IOT Nodes vs. Latency (ms)
6.3: Number of IOT Nodes Vs. Queue Length(packets)
6.4: Number of IoT Nodes vs. Transmission Speed (Mbps)
6.5: Number of IoT Nodes vs. Packet Drop Rate (%)

Scenario 3 Using Segment Routing

Step 1: Initially, we constructed a dual-path wired network with 50 IoT Nodes, 10 Routers, and 4 Switches.

Step 2: Next, we implemented the Segment Routing protocol with one set of routers.

Step 3: Next, we configured the second set of routers to use Segment Routing logic with segment lists and source-based forwarding.

Step 4: Next, we generated high-bandwidth and bursty traffic to evaluate network load handling and congestion response.

Step 5: Next, we routed one network using Segment Routing for adaptive routing and segment-based forwarding.

Step 6: Finally, we plotted performance for the following metrics:

6.1: Number of IOT Nodes vs. Throughput (Mbps)
6.2: Number of IOT Nodes vs. Latency (ms)
6.3: Number of IOT Nodes Vs. Queue Length(packets)
6.4: Number of IoT Nodes vs. Transmission Speed (Mbps)
6.5: Number of IoT Nodes vs. Packet Drop Rate (%)

Software Requirements:

1. Development Tool: OMNeT++ 4.6 or above
2. Operating System: Windows 10 (64-bit) or above

Note

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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