Leach Algorithm Reference: MATLAB Implementation for Wireless Sensor Network Clustering

In wireless sensor networks, the LEACH clustering algorithm serves as a widely adopted energy-balancing protocol. To gain deeper insights into this algorithm, we can implement and simulate it using MATLAB. The simulation allows us to examine how LEACH manages energy distribution, establishes cluster heads, and selects data transmission paths within sensor networks. From a code implementation perspective, key components include: 1) Probability-based cluster head rotation using threshold calculations (T(n) = P/(1-P*(r mod 1/P))), 2) Energy consumption modeling for transmission and reception operations, and 3) Cluster formation algorithms with minimum-distance association rules. Furthermore, through experimental simulations, we can investigate how various parameters (such as node density, initial energy, and network topology) impact algorithm performance, thereby providing valuable references for optimizing wireless sensor network efficiency. Consequently, implementing LEACH clustering algorithm simulation in MATLAB represents a highly meaningful endeavor for both educational and research purposes.