WSN-Location: Localization Algorithms for Wireless Sensor Networks

This resource provides implementations of diverse localization algorithms used in Wireless Sensor Networks (WSN), with supporting academic papers for theoretical background. The code demonstrates practical applications of algorithms such as centroid localization, DV-Hop, and multilateration techniques, including key functions for distance calculation, coordinate estimation, and error minimization. While current implementations cover fundamental approaches, the field offers substantial opportunities for further development—particularly in optimizing algorithm efficiency for dynamic networks, improving accuracy under non-line-of-sight conditions, and adapting techniques for industry-specific applications like IoT deployment or environmental monitoring. Future enhancements could incorporate machine learning for pattern recognition in signal propagation or hybrid algorithms combining range-based and range-free methods. Researchers can extend these foundations by implementing energy-aware localization protocols or testing algorithms in simulated environments with variable node density and mobility patterns.