Network Simulation Projects

Network Simulation Projects are widely used for simulating wireless and mobile networks. These projects help students, researchers, and PhD scholars to design, test, and evaluate different wireless communication scenarios. Here we discuss one of the most important domains in network simulation projects — Wireless Sensor Networks (WSN). Our team provides AI-Based OMNeT++ Network Projects for PhD & Research guidance for real-time simulation and analysis.

What is WSN?

Wireless Sensor Network (WSN), as the name suggests, is a network of sensor nodes that monitor environmental changes such as pressure, humidity, temperature, vibration, pollutants, and sound. We provide AI-Based OMNeT++ Network Projects for PhD & Research in WSN for students and scholars, enabling them to model real-time conditions. Wireless sensors detect environmental conditions and transmit the data to the correct location for processing.

There are two types of communication models in WSN:

1. Uni-directional

2. Bi-directional

Uni-directional:

In this type of WSN, the sensors detect environmental changes and send data to the main location. However, the main location cannot send any data back, and the activities of the sensor network cannot be controlled remotely. Such setups are often studied in AI-Based OMNeT++ Network Projects for PhD & Research to test efficiency and performance.

Applications:

Wireless Sensor Networks are used in a variety of network simulation projects due to their broad applications. Our AI-Based OMNeT++ Network Projects for PhD & Research cover:

1. Security purposes: Military surveillance, smart home monitoring

2. Healthcare: Patient monitoring systems for illness, energy levels, sugar, BP, and heartbeat

3. Environmental sensing: Landslide detection, water level/quality monitoring, air pollution detection, and natural disaster alerts

Characteristics of Wireless Sensor Networks:

- Ability to withstand environmental conditions

- Easy to deploy and use

- Can function even with node failures

- Portable and flexible

WSN Network Simulation Projects in OMNeT++

We design customized Wireless Sensor Network simulations in OMNeT++. For example, a WSN can be simulated to detect environmental temperature changes. If the temperature rises above 45°C, the system sends an alert to the main control station. Similarly, various types of AI-Based OMNeT++ Network Projects for PhD & Research can be modeled and tested using OMNeT++, covering WSN, VANET, IoT, and other domains.