Wireless Sensor Network LEACH Algorithm with MATLAB Implementation

In this article, we explore the LEACH (Low-Energy Adaptive Clustering Hierarchy) algorithm for wireless sensor networks and provide a comprehensive MATLAB implementation model. Wireless sensor networks consist of numerous small sensor nodes capable of environmental sensing and inter-node communication. The LEACH protocol serves as an energy-efficient routing mechanism specifically designed for such networks, enabling prolonged node operation without exhausting battery resources. We will examine the fundamental principles of the LEACH algorithm and its applications in wireless sensor networks. The implementation approach involves cluster formation where nodes autonomously elect cluster heads using probabilistic thresholds, followed by data aggregation and transmission phases. Our MATLAB model demonstrates key algorithmic components including: random cluster head selection using rand() function, energy consumption calculation based on transmission distance, and TDMA schedule generation for intra-cluster communication. The article provides detailed step-by-step instructions and code examples covering network initialization, cluster formation algorithms, energy model implementation, and data transmission simulation. Key MATLAB functions featured include distance matrix computation using pdist2, cluster head election logic with comparison operators, and energy depletion tracking through cumulative subtraction operations. This comprehensive guide enables readers to seamlessly follow and understand the entire implementation process, from basic concept to functional simulation. We hope this resource proves valuable for your wireless sensor network research and development projects!