LEACH Hierarchical Clustering Algorithm Simulation Source Code for Wireless Sensor Networks

This document provides detailed information about the simulation source code for the LEACH hierarchical clustering algorithm in wireless sensor networks. Wireless sensor networks consist of numerous sensor nodes distributed across a wide geographical area. LEACH (Low-Energy Adaptive Clustering Hierarchy) is a widely-used cluster head selection algorithm that effectively reduces energy consumption and extends network lifetime. The implementation includes probabilistic cluster head rotation where nodes self-elect as cluster heads based on energy thresholds and random number generation. The code demonstrates distributed cluster formation, data aggregation at cluster heads, and energy-aware communication scheduling. Key functions simulate sensor node initialization, round-based cluster head election, TDMA schedule creation, and energy consumption calculations for transmission and reception operations. This article explains the fundamental principles and implementation approach of the LEACH algorithm, providing corresponding simulation source code for reference and learning purposes. Through simulation experiments, you can better understand the working mechanism of the LEACH algorithm and optimize or improve it for practical applications. The code structure includes modular components for network setup, cluster formation phases, steady-state data transmission, and performance metrics collection. We hope this information proves valuable for your research and development efforts!