DEEC Clustering Algorithm Code for Wireless Sensor Networks

This MATLAB code implements the DEEC (Distributed Energy-Efficient Clustering) algorithm for wireless sensor networks. The simulation environment generates various performance curves such as energy efficiency curves and network stability curves. DEEC is a clustering algorithm specifically designed for node organization in wireless sensor networks, where nodes communicate and collaborate to form distinct clusters for more efficient data transmission and energy management. Key implementation features include: - Energy balancing mechanism that distributes energy consumption evenly across nodes - Dynamic cluster head selection based on residual energy calculations - MATLAB-based visualization of network lifetime and stability metrics The algorithm's primary advantage lies in its ability to balance energy consumption throughout the network, significantly extending the network's operational lifetime. The MATLAB simulation framework enables comprehensive analysis of algorithm performance characteristics through graphical outputs like energy curves and stability curves. By running the DEEC algorithm code and analyzing simulation results, researchers can effectively evaluate and optimize the algorithm's application effectiveness in wireless sensor network deployments.