Simulation of DV-Hop Localization Algorithm with Performance Analysis

This document describes the implementation methodology for simulating the DV-Hop localization algorithm, including automated generation of randomly distributed nodes within a predefined network area. The simulation framework incorporates three-phase computation: distance estimation through hop count measurement between anchor nodes, coordinate calculation using trilateration methods, and error analysis through comparison with ground truth positions. Implementation details include neighbor discovery protocols, minimum hop count determination using flood-based routing, and least-squares-based position estimation. The visualization module generates error distribution curves and statistical plots using coordinate transformation algorithms. Performance metrics incorporate mean absolute error (MAE) calculation with normalization techniques. The system architecture allows parametric studies by varying node density and distribution patterns to evaluate algorithm robustness through Monte Carlo simulations. This research provides insights into DV-Hop's limitations in irregular networks and suggests enhancements for gradient-based hop size refinement and error correction mechanisms.