Performance Analysis of Cluster Based Dissemination in VANET

Performance Analysis of Cluster Based Dissemination in VANET

Performance Analysis of Cluster Based Dissemination in VANET

Implementation Plan:
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Scenario 1: Using Gaussian Mixture Model (GMM)
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Step 1: Initially, we will construct a VANET Network with 120 vehicles , 4 RSU, 2 Base station and 1 Server

Step 2; Then, we simulate and collect the simulated data.

Step 3: Next, we Implement the Gaussian Mixture Model (GMM) clustering algorithms for dissemination:

Step 4: Next, we Develop cluster-based alert dissemination protocols utilizing the clusters formed by GMM.

Step 5: Next, we Implement AODV-based alert dissemination protocol for routing as a baseline.

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

6.1: Number of vehicles vs. Throughput (Mbps)

6.2: Number of vehicles vs. End to End Delay (ms)

6.3: Number of vehicles vs. Packet Delivery Ratio (%)

6.4: Number of vehicles vs. Cluster Stability(%)

6.5: Number of vehicles vs. Alert Dissemination Efficiency (%)

6.6: Number of vehicles vs. Communication Overhead (%)

Scenario 2: Using AMACAD
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Step 1: Initially, we will construct a VANET Network with 120 vehicles , 4 RSU, 2 Base station and 1 Server

Step 2; Then, we simulate and collect the simulated data.

Step 3: Next, we Implement the AMACAD clustering algorithms for dissemination:

Step 4: Next, we Develop cluster-based alert dissemination protocols utilizing the clusters formed by AMACAD.

Step 5: Next, we Implement AODV-based alert dissemination protocol for routing as a baseline.

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

6.1: Number of vehicles vs. Throughput (Mbps)

6.2: Number of vehicles vs. End to End Delay (ms)

6.3: Number of vehicles vs. Packet Delivery Ratio (%)

6.4: Number of vehicles vs. Cluster Stability(%)

6.5: Number of vehicles vs. Alert Dissemination Efficiency (%)

6.6: Number of vehicles vs. Communication Overhead (%)

Scenario 3: Using DBSCAN
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Step 1: Initially, we will construct a VANET Network with 120 vehicles , 4 RSU, 2 Base station and 1 Server

Step 2; Then, we simulate and collect the simulated data.

Step 3: Next, we Implement the DBSCAN clustering algorithms for dissemination:

Step 4: Next, we Develop cluster-based alert dissemination protocols utilizing the clusters formed by DBSCAN .

Step 5: Next, we Implement AODV-based alert dissemination protocol for routing as a baseline.

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

6.1: Number of vehicles vs. Throughput (Mbps)

6.2: Number of vehicles vs. End to End Delay (ms)

6.3: Number of vehicles vs. Packet Delivery Ratio (%)

6.4: Number of vehicles vs. Cluster Stability(%)

6.5: Number of vehicles vs. Alert Dissemination Efficiency (%)

6.6: Number of vehicles vs. Communication Overhead (%)

Scenario 4: Using Spectral Clustering
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Step 1: Initially, we will construct a VANET Network with 120 vehicles , 4 RSU, 2 Base station and 1 Server

Step 2; Then, we simulate and collect the simulated data.

Step 3: Next, we Implement the Spectral Clustering algorithms for dissemination:

Step 4: Next, we Develop cluster-based alert dissemination protocols utilizing the clusters formed by Spectral Clustering.

Step 5: Next, we Implement AODV-based alert dissemination protocol for routing as a baseline.

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

6.1: Number of vehicles vs. Throughput (Mbps)

6.2: Number of vehicles vs. End to End Delay (ms)

6.3: Number of vehicles vs. Packet Delivery Ratio (%)

6.4: Number of vehicles vs. Cluster Stability(%)

6.5: Number of vehicles vs. Alert Dissemination Efficiency (%)

6.6: Number of vehicles vs. Communication Overhead (%)

Software Requirements:
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1. Development Tool: OMNET++ 4.6 or above with Veins

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.

Live Tasks
Technology Ph.D MS M.Tech
NS2 75 117 95
NS3 98 119 206
OMNET++ 103 95 87
OPNET 36 64 89
QULANET 30 76 60
MININET 71 62 74
MATLAB 96 185 180
LTESIM 38 32 16
COOJA SIMULATOR 35 67 28
CONTIKI OS 42 36 29
GNS3 35 89 14
NETSIM 35 11 21
EVE-NG 4 8 9
TRANS 9 5 4
PEERSIM 8 8 12
GLOMOSIM 6 10 6
RTOOL 13 15 8
KATHARA SHADOW 9 8 9
VNX and VNUML 8 7 8
WISTAR 9 9 8
CNET 6 8 4
ESCAPE 8 7 9
NETMIRAGE 7 11 7
BOSON NETSIM 6 8 9
VIRL 9 9 8
CISCO PACKET TRACER 7 7 10
SWAN 9 19 5
JAVASIM 40 68 69
SSFNET 7 9 8
TOSSIM 5 7 4
PSIM 7 8 6
PETRI NET 4 6 4
ONESIM 5 10 5
OPTISYSTEM 32 64 24
DIVERT 4 9 8
TINY OS 19 27 17
TRANS 7 8 6
OPENPANA 8 9 9
SECURE CRT 7 8 7
EXTENDSIM 6 7 5
CONSELF 7 19 6
ARENA 5 12 9
VENSIM 8 10 7
MARIONNET 5 7 9
NETKIT 6 8 7
GEOIP 9 17 8
REAL 7 5 5
NEST 5 10 9
PTOLEMY 7 8 4

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