Meta-Heuristic Optimization of WBAN Coordinator Placement with 3-D Visualization

This paper introduces an interactive 3-D modular framework for optimizing Body Node Coordinator (BNC) placement and sensor transmission power in Wireless Body Area Networks (WBANs). Using meta-heuristic algorithms Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) to solves a multi-objective problem that maximizes connectivity and minimizes energy use. The propagation model follows the IEEE 802.15.6 standard for on-body channels. Its architecture comprises independent modules for a Graphical User Interface (GUI), 3-D rendering, propagation calculation, and optimization, producing visual reports of network topology and performance metrics. The tool offers a practical decision-support solution for WBAN sizing and deployment in Internet of Body (IoB) applications such as medical wearables, industrial automation, and security systems.