The document presents a thesis on indoor localization using local node density in ad-hoc wireless sensor networks, focusing on the development and performance evaluation of distributed location algorithms. It outlines the limitations of existing localization methods, proposes a novel local node density-based algorithm, and compares its effectiveness against other positioning algorithms. The research highlights the algorithm's components, including distance estimation and iterative refinement, alongside its application in various real-world scenarios.