WSN Energy Consumption Program (MATLAB) - Graph Theory-based Packet Forwarding Simulation

This MATLAB program simulates energy consumption in Wireless Sensor Networks (WSN) using graph theory-based packet forwarding algorithms. The implementation models network nodes as vertices in a graph, with communication links represented as edges. Key features include: - Energy consumption calculation using transmission distance and path loss models - Implementation of Dijkstra's or Bellman-Ford algorithms for optimal routing paths - Packet forwarding simulation with dynamic energy level tracking - Visualization tools for network topology and energy distribution maps The program helps researchers understand energy dissipation patterns in WSNs and test energy-efficient routing strategies. Through graph theory approaches, it analyzes how packet forwarding algorithms impact overall network lifetime and energy balance among sensor nodes. The MATLAB implementation includes functions for: 1. Network graph initialization with random or predefined node deployments 2. Energy consumption models based on transmission distance and data size 3. Path selection algorithms minimizing total energy usage 4. Real-time energy level monitoring and depletion alerts This simulation tool provides valuable insights for optimizing WSN energy efficiency and supports further research in network protocol development and energy-aware routing strategies.