Enhancing Energy Efficiency in Wireless Body Area Networks: A Comprehensive Study of Algorithms

Abstract

The fast advancement of wireless technology, particularly 5G, has accelerated the implementation of Wireless Body Area Networks (WBANs) to improve the quality of life for individuals with disabilities. This study looks at the most efficient energy-saving algorithms and tactics for medical and health monitoring apps. The research addresses issues in sustainable energy consumption caused by the limited battery life of wearable devices and categorizes energy-efficient algorithms as contention-based or contention-free solutions. The study emphasizes the significance of creating bespoke routing protocols for WBANs in order to save energy. It also outlines potential obstacles, such as lowering power usage and dealing with radiation absorption by the human body, all of which are critical for WBAN technological progress. The study continues by evaluating energy-efficient WBANs and emphasizing the need of ongoing innovation and interdisciplinary collaboration in order to overcome existing hurdles and reach long-term health monitoring solutions.