Analysis of QoS Aware Adaptive 5G Network Slicing IoT

Analysis of QoS Aware Adaptive 5G Network Slicing IoT

Performance Analysis of QoS Aware Adaptive 5G Network Slicing for Healthcare IoT

Implementation plan:
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Scenario 1: (Without Network Slicing):
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Step 1: Initially, we constructed a 5G network with 50 Sensor nodes, 2 Gateway and 1 Central servers.

Step 2: Then, we collect and load the data using the Multi-Sensor Medical IoT Dataset.

Step 3: Next, we forward the critical and non-critical sensor data to the central server using conventional scheduling techniques.

Step 4: Finally, we plot and analyze the following performance metrics:

4.1: Number of Sensor nodes vs Latency (ms)
4.2: Number of Sensor nodes vs Throughput (mbps)
4.3: Number of Sensor nodes vs Packet Loss Rate (%)
4.4: Number of Sensor nodes vs Packet Delivery Rate (%)

Scenario 2: (With Network Slicing):
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Step 1: Initially, we constructed a 5G network with 50 Sensor nodes, 2 Gateway and 1 servers.

Step 2: Then, we collect and load the data using the Multi-Sensor Medical IoT Dataset.

Step 3: Next, we dynamically assign traffic to appropriate network slices such as URLLC slices for critical data and mMTC slices for non-critical sensor data using Priority-based scheduling technique and forward traffic data to the central server.

Step 4: Finally, we plot and analyze the following performance metrics:

4.1: Number of Sensor nodes vs Latency (ms)
4.2: Number of Sensor nodes vs Throughput (mbps)
4.3: Number of Sensor nodes vs Packet Loss Rate (%)
4.4: Number of Sensor nodes vs Packet Delivery Rate (%)

Software Requirements:

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

Dataset:

Link : https://www.kaggle.com/datasets/programmer3/smart-health-iot-sensor-dataset

Note:

1) If the proposed plan does not fully align with your requirements, please provide all necessary details—including steps, parameters, models, and expected outcomes—in advance. Kindly ensure that any missing configurations or specifications are clearly outlined in the plan before confirming.

2) If there’s no built-in solution for what the project needs, we can always turn to reference models, customize our own, different math models or write the code ourselves to fulfil the process.

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

4) Project based on Simulation only.

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

Related Pages

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Unlimited Network Simulation Results available here.

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