Simulation of LEACH and HEED Clustering Algorithms in Wireless Sensor Networks

In this article, I provide a detailed simulation of LEACH (Low-Energy Adaptive Clustering Hierarchy) and HEED (Hybrid Energy-Efficient Distributed) clustering algorithms in wireless sensor networks using MATLAB. The implementation includes modeling cluster head selection mechanisms, energy consumption calculations, and network lifetime analysis through MATLAB's matrix operations and probabilistic functions. I explain the core principles of both algorithms: LEACH's randomized rotation of cluster heads to distribute energy load, and HEED's hybrid approach combining residual energy and communication cost for cluster formation. The MATLAB simulation demonstrates key metrics like packet delivery rate, energy efficiency, and network scalability through customized functions for event triggering, data aggregation, and topology visualization. Additionally, I discuss practical applications, limitations in large-scale deployments, and potential enhancements such as dynamic threshold adjustments and multi-hop communication integration. This guide enables readers to comprehensively understand the impact of LEACH and HEED algorithms in WSNs and implement performance analysis using MATLAB's simulation toolkit.