Optimization Techniques in Wireless Body Area Networks

This book focuses on the emerging technology of Wireless Body Area Networks (WBANs), a network of sensors deployed on, near, or within the human body to collect physiological data. These networks promise revolutionary applications in healthcare, fitness, and entertainment by offering continuous monitoring of health conditions, especially in critical scenarios. The book presents a detailed exploration of WBANs, their architecture, communication protocols, and the latest advancements in their development. It covers key topics such as interference detection, soft computing-based sensor node classification, link failure detection, and energy-efficient communication protocols, providing valuable insights for researchers and practitioners in the field of biomedical engineering and wireless communication technologies.

Wireless Body Area Networks (WBANs) represent a significant advancement in healthcare and personal monitoring systems, integrating sensors to capture physiological data and transmit it wirelessly. This book introduces WBANs, examining their architecture, communication protocols, and real-world applications in monitoring patient health and enhancing fitness. It highlights various research methodologies, including hybrid interference detection, soft computing-based node classification, and link failure detection to improve system performance. The proposed solutions for energy-efficient communication and real-time data transmission are discussed, with practical implications for medical monitoring, gaming, and emergency response systems. This work serves as a valuable resource for researchers and professionals in wireless sensor networks and biomedical fields.

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