WSN Routing Simulation with MATLAB Cluster Selection

In Wireless Sensor Networks (WSN), routing represents a critical function for data transmission. To enhance network performance and efficiency, cluster-based organization can be implemented to manage sensor nodes effectively. This approach utilizes MATLAB simulations to evaluate and optimize routing algorithm performance through computational modeling. The cluster selection mechanism typically involves algorithms like LEACH (Low-Energy Adaptive Clustering Hierarchy) where sensor nodes self-organize into clusters with rotating cluster heads. MATLAB implementation would include functions for: - Random cluster head election using probability thresholds - Energy consumption modeling for transmission and reception - TDMA schedule generation for intra-cluster communication - Data aggregation simulation at cluster heads By incorporating cluster selection functionality, the simulation enables better energy management and improved data transmission efficiency, ultimately enhancing the overall performance and reliability of WSN systems. The MATLAB code would typically feature matrix operations for node positioning, loop structures for iteration rounds, and statistical analysis tools for performance metrics evaluation.