Online Python Code Helper -we at matlabprojects.org will be your best research partner we work on several projects, Python is utilized in combination with ns-3. To enable research in network-related topics, we have suggested an extensive instruction based on how to employ Python along with ns-3 in an effective manner:

Procedural Instruction

1. Install ns-3 and ns3-gym:

• To install ns-3, we focus on adhering to the beneficial guidelines.
• For connecting ns-3 with Python, it is advisable to install ns3-gym.

git clone https://gitlab.com/nsnam/ns-3-dev.git

cd ns-3-dev

./waf configure –enable-examples –enable-tests

./waf build

# Install ns3-gym

git clone https://github.com/tkn-tub/ns3-gym.git

cd ns3-gym

pip install .

2. Set Up Network Topology in ns-3: In ns-3, our team aims to develop a simple network topology.

// network_topology.cc

#include “ns3/core-module.h”

#include “ns3/network-module.h”

#include “ns3/internet-module.h”

#include “ns3/point-to-point-module.h”

#include “ns3/applications-module.h”

using namespace ns3;

int main(int argc, char *argv[]) {

CommandLine cmd;

cmd.Parse(argc, argv);

NodeContainer nodes;

nodes.Create(2);

PointToPointHelper pointToPoint;

pointToPoint.SetDeviceAttribute(“DataRate”, StringValue(“5Mbps”));

pointToPoint.SetChannelAttribute(“Delay”, StringValue(“2ms”));

NetDeviceContainer devices;

devices = pointToPoint.Install(nodes);

InternetStackHelper stack;

stack.Install(nodes);

Ipv4AddressHelper address;

address.SetBase(“10.1.1.0”, “255.255.255.0”);

Ipv4InterfaceContainer interfaces = address.Assign(devices);

UdpEchoServerHelper echoServer(9);

ApplicationContainer serverApps = echoServer.Install(nodes.Get(1));

serverApps.Start(Seconds(1.0));

serverApps.Stop(Seconds(10.0));

UdpEchoClientHelper echoClient(interfaces.GetAddress(1), 9);

echoClient.SetAttribute(“MaxPackets”, UintegerValue(10));

echoClient.SetAttribute(“Interval”, TimeValue(Seconds(1.0)));

echoClient.SetAttribute(“PacketSize”, UintegerValue(1024));

ApplicationContainer clientApps = echoClient.Install(nodes.Get(0));

clientApps.Start(Seconds(2.0));

clientApps.Stop(Seconds(10.0));

Simulator::Run();

Simulator::Destroy();

return 0;

}

3. Create a Python Script for Data Analysis: For machine learning, data analysis, or other research missions, we plan to employ Python.

# data_analysis.py

import pandas as pd

import matplotlib.pyplot as plt

# Example data (replace with actual data collection from ns-3)

data = {

‘Time’: [1, 2, 3, 4, 5],

‘PacketSent’: [100, 200, 300, 400, 500],

‘PacketReceived’: [90, 180, 270, 360, 450],

‘Latency’: [0.1, 0.2, 0.3, 0.4, 0.5]

}

df = pd.DataFrame(data)

# Plot data

plt.figure()

plt.plot(df[‘Time’], df[‘PacketSent’], label=’Packet Sent’)

plt.plot(df[‘Time’], df[‘PacketReceived’], label=’Packet Received’)

plt.xlabel(‘Time (s)’)

plt.ylabel(‘Packets’)

plt.title(‘Network Traffic Over Time’)

plt.legend()

plt.show()

plt.figure()

plt.plot(df[‘Time’], df[‘Latency’], label=’Latency’)

plt.xlabel(‘Time (s)’)

plt.ylabel(‘Latency (s)’)

plt.title(‘Network Latency Over Time’)

plt.legend()

plt.show()

4. Integrate ns-3 with Python using ns3-gym: For RL (Reinforcement Learning) or other innovative simulations, construct a Gym platform through the utilization of ns3-gym.

# ns3_gym_interface.py

import gym

import ns3gym

import numpy as np

class Ns3Env(gym.Env):

def __init__(self):

super(Ns3Env, self).__init__()

# Define action and observation space

self.action_space = gym.spaces.Discrete(2)

self.observation_space = gym.spaces.Box(low=0, high=1, shape=(10,), dtype=np.float32)

def step(self, action):

observation = np.random.rand(10)

reward = self.calculate_reward(observation)

done = False

info = {}

return observation, reward, done, info

def reset(self):

return np.random.rand(10)

def calculate_reward(self, observation):

return np.sum(observation)  # Example reward function

if __name__ == “__main__”:

env = Ns3Env()

for _ in range(10):

observation = env.reset()

for _ in range(100):

action = env.action_space.sample()

observation, reward, done, info = env.step(action)

if done:

break

5. Run the ns-3 Simulation and Python Analysis: We intend to carry out the simulation of ns-3. As a means to process and visualize the outcomes, execute our Python analysis script.

# Build and run the ns-3 simulation

./waf build

./waf –run network_topology

# Run the Python analysis script

python data_analysis.py

online python code services

Python is a multipurpose programming language which can be used in numerous research areas to accomplish a diversity of missions efficiently. We provide a collection of research regions in which Python is utilized:

1. Data Structures
2. Algorithms
3. Computer Networks
4. Operating Systems
5. Database Management Systems
6. Software Engineering
7. Digital Logic Design
8. Computer Architecture
9. Microprocessors
10. Embedded Systems
11. Signals and Systems
12. Control Systems
13. Electrical Circuits
14. Electronics
15. Digital Signal Processing
16. Analog Communication
17. Digital Communication
18. Electromagnetic Theory
19. Power Electronics
20. Electrical Machines
21. Power Systems
22. Renewable Energy Systems
23. Thermodynamics
24. Fluid Mechanics
25. Heat Transfer
26. Mechanical Vibrations
27. Machine Design
28. Manufacturing Processes
29. Materials Science
30. Engineering Mechanics
31. Solid Mechanics
32. Dynamics
33. Kinematics
34. Finite Element Analysis
35. Robotics
36. Mechatronics
37. CAD/CAM
38. Automobile Engineering
39. Aerodynamics
40. Aerospace Structures
41. Flight Mechanics
42. Spacecraft Dynamics
43. Chemical Process Engineering
44. Chemical Reaction Engineering
45. Process Dynamics and Control
46. Transport Phenomena
47. Biochemical Engineering
48. Environmental Engineering
49. Water Resources Engineering
50. Geotechnical Engineering
51. Structural Analysis
52. Construction Management
53. Surveying and Geomatics
54. Transportation Engineering
55. Remote Sensing and GIS
56. Hydrology
57. Urban Planning
58. Environmental Impact Assessment
59. Bridge Engineering
60. Tunnel Engineering
61. Railway Engineering
62. Airport Engineering
63. Coastal Engineering
64. Offshore Engineering
65. Marine Engineering
66. Naval Architecture
67. Ship Design
68. Ship Construction
69. Maritime Safety
70. Ocean Engineering
71. Petroleum Engineering
72. Reservoir Engineering
73. Drilling Engineering
74. Production Engineering
75. Refining and Petrochemicals
76. Hydrocarbon Processing
77. Subsea Engineering
78. Pipeline Engineering
79. Nuclear Engineering
80. Reactor Physics
81. Radiation Protection
82. Nuclear Materials
83. Nuclear Safety
84. Medical Imaging
85. Biomechanics
86. Biomaterials
87. Tissue Engineering
88. Bioinformatics
89. Genomics
90. Proteomics
91. Systems Biology
92. Biostatistics
93. Biomedical Instrumentation
94. Clinical Engineering
95. Rehabilitation Engineering
96. Pharmaceutical Engineering
97. Polymer Science
98. Nanotechnology
99. Material Characterization
100. Surface Engineering
101. Corrosion Engineering
102. Composite Materials
103. Smart Materials
104. Metallurgy
105. Mineral Processing
106. Extractive Metallurgy
107. Steel Making
108. Non-Ferrous Metals
109. Welding Technology
110. Ceramics Engineering
111. Glass Technology
112. Semiconductor Devices
113. Photonics
114. Optoelectronics
115. Laser Technology
116. Quantum Computing
117. Cryptography
118. Network Security
119. Cybersecurity
120. Artificial Intelligence
121. Machine Learning
122. Deep Learning
123. Natural Language Processing
124. Computer Vision
125. Data Mining
126. Big Data Analytics
127. Cloud Computing
128. Internet of Things
129. Blockchain Technology
130. Virtual Reality
131. Augmented Reality
132. Human-Computer Interaction
133. Robotics Process Automation
134. Digital Twins
135. Smart Grids
136. Industrial Automation
137. Sustainable Engineering
138. Green Technology
139. Renewable Energy Systems
140. Energy Storage Systems
141. Electric Vehicles
142. Smart Cities
143. Autonomous Vehicles

Through this article, we have recommended a thorough direction on the basis of how you could employ Python together with ns-3 to promote research in network-based topics. Also, a list of research areas in which Python is utilized are offered by us in an explicit manner.

Distinctive step-by-step instructions are provided for your tasks. Seek assistance from Python specialists to address your coding needs at matlabprojects.org. Submit your project details to us for optimal coding outcomes.