Simulation of GAF Geographic Location Routing Algorithm

This document provides a comprehensive overview of the simulation process for the GAF (Geographic Adaptive Fidelity) geographic location routing algorithm using MATLAB. The GAF algorithm represents an advanced routing approach that determines optimal paths by calculating distances and directions between nodes. In our simulation framework, we implement GPSR as the foundational routing mechanism, which ensures efficient and reliable packet transmission across the network. The MATLAB implementation includes key components such as node initialization with coordinate assignment, neighbor table maintenance using periodic beacon messages, and greedy forwarding mechanisms with perimeter routing fallback. We will elaborate on the specific implementation details, including the algorithm flow for route discovery, data packet forwarding logic, and energy efficiency considerations through node clustering. The discussion will also cover the significance and implications of simulation results, analyzing performance metrics such as packet delivery ratio, end-to-end delay, and network lifetime. Through this documentation, readers will gain insights into the advantages and limitations of the GAF geographic routing algorithm, along with methodologies for optimizing algorithm performance through parameter tuning and simulation-based validation techniques.