Analysis of Message Dissemination in Vehicular ad hoc 5G network

Performance Analysis of Emergency Message Dissemination in Vehicular ad hoc 5G network

Implementation Plan:

Step 1: Initially, we created a VANET Network with 50- Vehicles and 2- Road side Units(RSU).

Step 2: Then, we collect and pre-process the vehicular communication data from vehicles and RSU.

Step 3: Next, we classify the Emergency messages using LSTM (Long short-term memory).

Step 4: Next, we secure emergency message dissemination using “Multi-Authority Ciphertext-Policy Attribute-Based Encryption(CP-ABE)”.

Step 5: Next, we schedule the messages based on priority using Edge-DENM (Decentralized Environmental Notification Messages) Prioritization Algorithm.

Step 6: Next, we implement DBSCAN-Fuzzy Adaptive Clustering and Decision (DFACD) based dynamic clustering to optimize the congestion.

Step 7: Next, we implement the CALAR-LF optimized routing algorithm for Efficient Emergency Message Delivery in the network.

Step 8: Finally, Performance Metrics will be plotted for the following:

8.1: No. of vehicles vs Model Accuracy (%)
8.2: No. of vehicles vs Packet delivery ratio (%)
8.3: No. of vehicles vs Average delay (s)
8.4: Time (s) Vs packet size (bytes)
8.5: Time (s) vs Throughput (kbps)
8.6: False Positive rate (%) vs True Positive rate(%)

Software Requirements:

1. Development Tool: OMNeT++ 4.6 with Veins
2. Operating System: Windows 11 (64-bit)

Note :-

1) If the above plan does not satisfy your requirement, please provide the processing details, like the above step-by-step.

2) Please note that this implementation plan does not include any further steps after it is put into implementation.

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

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

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

We perform with an Existing Reference 2: Three Layered Architecture for Driver Behavior Analysis and Personalized Assistance with Alert Message Dissemination in 5GEnvisioned Fog-IoCV

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