Wireless Sensor Network Clustering Algorithm
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This MATLAB simulation implements a clustering algorithm for wireless sensor networks (WSNs). The program enables real-time monitoring of residual energy levels for each sensor node and tracks the number of surviving nodes over time. Key implementation features include energy consumption modeling for cluster head selection and member node communication protocols. Users can modify network parameters such as transmission range, initial energy allocation, and clustering thresholds through configurable input variables. The simulation employs event-driven programming to model network dynamics and includes visualization functions for displaying energy distribution maps and network topology changes. Through this experimental platform, researchers can analyze WSN performance metrics, optimize clustering strategies, and enhance network efficiency and reliability by testing various algorithm modifications.
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