Algorithms for Wireless Sensor Networks

This is a comprehensive summary of algorithms for wireless sensor networks, designed to provide practical value for researchers and developers. The collection includes: LEACH (Low-Energy Adaptive Clustering Hierarchy) protocol code implementation demonstrating cluster head rotation and energy-efficient communication; HEED (Hybrid Energy-Efficient Distributed) clustering algorithm simulation showing probabilistic cluster head selection based on residual energy; enhanced SALAMA simulation featuring improved security and routing mechanisms; and k-Nearest Neighbors simulation for node localization and data classification tasks. Wireless sensor networks represent advanced technology enabling diverse applications including environmental monitoring, smart agriculture, and intelligent transportation systems. These algorithm implementations and simulations are crucial for optimizing network performance, improving energy efficiency of sensor nodes, and enhancing overall network reliability. Through studying these implementations with their key functions and algorithmic approaches, users can gain deeper understanding and practical application skills for wireless sensor network technologies.