https://github.com/efjerryyang/modeling-and-simulation

A modeling and simulation task of SJTU
https://github.com/efjerryyang/modeling-and-simulation

Last synced: 14 days ago
JSON representation

A modeling and simulation task of SJTU

• Host: GitHub
• URL: https://github.com/efjerryyang/modeling-and-simulation
• Owner: efJerryYang
• License: mit
• Created: 2022-05-01T01:10:13.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2023-10-04T00:17:19.000Z (about 1 year ago)
• Last Synced: 2023-10-04T12:48:53.986Z (about 1 year ago)
• Language: Jupyter Notebook
• Homepage:
• Size: 48.1 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Modeling and Simulation

## Sonar System Simulation

This project simulates a distributed sonar system, which consists of various independent nodes interconnected to function collaboratively. Maintaining a synchronized clock signal across these nodes is vital for the system's effective operation. One node assumes the role of a primary clock signal distributor, while the others function as receivers.

### System Overview

- **Node States**: Nodes can transition between primary and secondary roles based on system requirements and node conditions. The system can adaptively select a new primary node if the existing one encounters issues.

- **Redundancy**: Even if only `k` nodes work synchronously, the system can function correctly. Having more nodes than `k` provides redundancy, enhancing the system's survival rate and longevity.

- **Switch Failures**: Both switches A and B in nodes can exhibit different types of failures. These failures influence node states and the overall system state.

### System Structure

1. **Constants & Parameters**: Both the Julia and MATLAB codes initiate the system with predefined settings. These constants, like `NUM_SYSTEM`, `NUM_NODE`, and `LIFE_LIMIT`, set the scope of the simulation. Switch-specific constants also dictate their failure probabilities.

2. **Simulation Core**: The core logic assesses the system's state by evaluating the state of switches and nodes. If required, the primary node can be reselected to maintain system functionality.

3. **Output**: Post-simulation, the results detailing system lifetimes are recorded. Visualizations, such as histograms, provide insights into system reliability and MTTF (Mean Time To Failure).

### Usage

**Julia**:

- Launch the Julia script `simulation.jl` in an editor or the Julia REPL.

- Run the simulation, and the results will be saved as CSV files.

- Inspect the MTTF histogram.

**MATLAB**:

- Execute the MATLAB script `simulation_varia_timestep.m`.

- On completing the simulation for a series of nodes, MTTF and reliability data will be presented in the MATLAB console.

### Notice

- For tailored simulations, modify parameters like the total systems, node counts, or life limits.

- As random number generation is integral to these simulations, different runs might give slightly varying results.

- Differences between the Julia and MATLAB codes primarily stem from language-specific nuances.