Simulation of Classical HEED Clustering Algorithm
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Resource Overview
MATLAB-based simulation source code for the classical HEED (Hybrid Energy-Efficient Distributed) clustering algorithm, effectively demonstrating protocol performance through configurable parameters and cluster formation visualization. Contains MATLAB .m files ready for execution with detailed comments on energy modeling and cluster head selection mechanisms.
Detailed Documentation
This implementation presents a MATLAB-based simulation of the classical HEED clustering algorithm. The source code accurately simulates HEED protocol outcomes featuring energy-aware cluster head election with probabilistic thresholds and intra-cluster communication optimization. The algorithm implementation includes modular functions for network initialization, residual energy calculation, and cluster formation with adjustable parameters for transmission range and node density. Saved in MATLAB .m file format, simply open the files to examine the complete implementation containing detailed annotations about cost function calculations and iterative cluster head selection processes.
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