Lightweight Authentication and Data Standardization Framework for Wireless Body Area Networks in Virtual Care Clinics: Optimizing Computational Overhead and Network Latency

The integration of Wireless Body Area Networks (WBANs) into virtual care clinics requires robust, real-time data governance. However, the limited computational and energy capacities of wearable sensors make complex, multi-tasking security protocols unfeasible. This original research proposes a lightweight, deterministic operational framework for processing clinical data. To optimize computational overhead and ensure low-latency transmissions, speculative predictive analytics modules were deliberately excluded from the system architecture. Instead, the framework strictly integrates a single operational task: lightweight data authentication and standardization. The processing pipeline is visually modeled through a phased sequential flowchart comprising screening, eligibility, and inclusion phases. Mathematical evaluations of network latency and energy consumption confirm that isolating a single governance task significantly reduces end-to-end processing delays. The results indicate that this streamlined architecture provides a highly sustainable, low-latency data integration model suitable for continuous patient monitoring in clinical information systems.

کلیدواژه ها:

Wireless Body Area Networks (WBAN) ، Virtual Care Clinics ، Lightweight Authentication ، Computational Overhead ، Network Latency ، Clinical Information Systems