Performance Analysis of Next Generation Wireless Networks
Implementation plan:
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Scenario 1; (With Agentic AI)
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Step 1: Initially, we constructed a 6G-enabled network with 50 Users, 2 base stations, and 1 cloud server .
Step 2: Then, we collected simulated network data such as traffic load, energy usage, and signal strength from all User nodes.
Step 3: Next, we implemented constrained Agentic AI models to optimize energy consumption and ensure secure data handling.
Step 4: Next, we applied Neural Radio Protocol Stack (NRPS) generation using Agentic AI to adapt communication protocols dynamically.
Step 5: Then, we enabled decentralized routing using autonomous cognitive agents for data forwarding.
Step 6: Then, we analyzed the performance of the system under varying mobility, interference, and load conditions.
Step 7: Finally, we plot performance for the following metrics:
7.1: Number of Users vs. Latency (ms)
7.2: Number of Users vs. SNR (dB)
7.3: Number of Users vs. Packet Delivery Ratio (%)
7.4: Number of Users vs. Retransmission Rate (%)
Scenario 2 (Without Agentic AI)
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Step 1: Initially, we constructed a 6G-enabled network with 50 Users, 2 base stations, and 1 cloud server .
Step 2: Then, we collected simulated network data such as traffic load, energy usage, and signal strength from all User nodes.
Step 3: Next, we implemented an energy-aware optimization algorithm to reduce power usage and enforce basic security rules.
Step 4: Then, we enabled decentralized routing using a lightweight distributed algorithm for data forwarding.
Step 5: Then, we analyzed the performance of the system under varying mobility, interference, and load conditions.
Step 6: Finally, we plot performance for the following metrics:
6.1: Number of Users vs. Latency (ms)
6.2: Number of Users vs. SNR (dB)
6.3: Number of Users vs. Packet Delivery Ratio (%)
6.4: Number of Users vs. Retransmission Rate (%)
Software Requirements:
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1. Development Tool: OMNeT++ 4.6 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.
| 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 |