Performance Analysis of Vehicular Networks Intelligent Transport

Performance Analysis of Vehicular Networks Intelligent Transport System

Implementation plan:
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Scenario 1: urllc (Ultra-Reliable Low Latency Communication):
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Step 1: Initially we construct the vanet network with 100- Vehicles, 4- Base Stations.

Step 2: we construct the mobility, road area, and map based on the SUMO.

Step 3: Next we transmit the safety messages and their priority level.

Step 4: Next, We consider various factors, including the priority of safety messages and the resource requirements of different services using a queuing model or reinforcement learning. URLLC is designed for applications that require extremely low latency, high reliability, and low packet error rates.

Step 5: Next, we implement the V2V and V2I communication protocols based on your algorithm.

Step 6: Finally, we generate the graph for,
6.1 Latency
6.2 Throughput
6.3 Packet Loss
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Scenario 2: eMBB (Enhanced Mobile Broadband):
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Step 1: Initially we construct the vanet network with 100- Vehicles, 4- Base Stations.

Step 2: we construct the mobility, road area, and map based on the SUMO.

Step 3: Next we transmit the safety messages and their priority level.

Step 4: Next, We consider various factors, including the priority of safety messages and the resource requirements of different services using a queuing model or reinforcement learning. eMBB slices prioritize high data rates and capacity, often offering multi-gigabit per second throughput.

Step 5: Next, we implement the V2V and V2I communication protocols based on your algorithm.

Step 6: Finally, we generate the graph for,
6.1 Latency
6.2 Throughput
6.3 Packet Loss
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Scenario 3: mMTC (Massive Machine Type Communications):
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Step 1: Initially we construct the vanet network with 100- Vehicles, 4- Base Stations.

Step 2: we construct the mobility, road area, and map based on the SUMO.

Step 3: Next we transmit the safety messages and their priority level.

Step 4: Next, We consider various factors, including the priority of safety messages and the resource requirements of different services using a queuing model or reinforcement learning. mMTC slices aim to efficiently manage network resources to accommodate a massive number of connections with relatively low data rates, while latency and reliability are typically less critical.

Step 5: Next, we implement the V2V and V2I communication protocols based on your algorithm.

Step 6: Finally, we generate the graph for,
6.1 Latency
6.2 Throughput
6.3 Packet Loss
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Software Requirements:
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1) Omnet++ 6.0

2) SUMO 1.11.0

3) Windows 10 [64-bit]

4) Oracle Virtual Box 7.0

5) Ubuntu 20.04.2 LTS

6) Simu-5G 1.2.1 pnp
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Note:-
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1. We make a simulation-based process only not a realtime process.

2. In these 3-scenarios we change the ned files for the simulations.

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