/Routing-Protocol-in-WSN

Primary LanguageJupyter Notebook

Reinforcement Learning Based Routing Algorithm Analysis

This repository contains a Jupyter Notebook that analyzes the performance of different routing algorithms in the presence of malicious nodes in a network. The analysis includes metrics such as the number of packets delivered, energy consumption, energy efficiency, and packet loss.

The following reinforcement learning based routing algorithms are analyzed:

Requirements

To run the notebook, you need the following Python libraries:

  • pandas
  • matplotlib
  • numpy

You can install these libraries using pip:

pip install pandas matplotlib numpy

Analysis Overview

The notebook covers the following aspects:

  1. Number of Packets Delivered: Compares how different routing algorithms perform regarding the number of packets successfully delivered as the number of malicious nodes increases.
  2. Energy Consumption: Analyzes the energy consumption of each routing algorithm in different scenarios.
  3. Energy Efficiency: Evaluates the energy efficiency of the algorithms.
  4. Packet Loss: Measures the packet loss rate for each algorithm as the number of malicious nodes changes.

License

This project is licensed under the MIT License.