Data Management, Edge Intelligence, and AI Integration in WBAN Systems

Wireless Body Area Networks (WBANs) generate continuous streams of physiological data, necessitating efficient data management and intelligent processing. This chapter explores strategies for data acquisition, storage, transmission, and real-time analytics within WBAN ecosystems. It highlights the role of edge intelligence in reducing latency, conserving energy, and enabling on-device decision-making. The integration of artificial intelligence and machine learning techniques is examined for tasks such as anomaly detection, predictive analytics, and personalized health insights. Additionally, the chapter addresses challenges related to data privacy, security, and interoperability, providing a comprehensive perspective on building scalable, intelligent, and patient-centric WBAN systems.

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