Performance Enhancement and Analysis of IoT-Based Wireless Body Area Networks in Medical Applications

Abstract

Internet of Things (IoT) enabled Wireless Body Area Networks (WBANs) represent a transformative technology in modern healthcare systems, facilitating real-time monitoring of physiological parameters through miniaturized sensor nodes deployed on, in, or around the human body. This study investigates the performance enhancement and comprehensive analysis of IoT-based WBANs in medical applications, focusing on critical parameters including energy efficiency, Quality of Service (QoS), data transmission reliability, and network lifetime. The research employs a systematic methodology encompassing quantitative analysis of energy consumption patterns, latency measurements, throughput evaluation, and packet delivery ratios across various WBAN architectures. Results demonstrate that optimized WBAN protocols achieve 62-68% improvements in network longevity and energy efficiency compared to conventional approaches, with packet delivery ratios exceeding 95% for critical medical data. Statistical analysis of performance metrics reveals significant correlations between transmission power optimization and extended network lifetime. The findings indicate that IEEE 802.15.6-based WBANs with adaptive relay mechanisms and QoS-aware routing protocols substantially enhance healthcare monitoring applications while maintaining energy efficiency and data integrity essential for patient safety