Application of Edge Computing IoT Architecture in the Development of Community Care Service Systems
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As the global population continues to age, there is a growing demand for community care services, which presents challenges for traditional healthcare models, including inefficiencies, elevated costs, and inadequate resource allocation. This research addresses these challenges by proposing an innovative solution that employs an Internet of Things (IoT) architecture grounded in edge computing for the enhancement of community care service systems. By integrating advanced edge computing technologies with intelligent sensing devices, a comprehensive platform is developed to facilitate real-time monitoring, preventive care, and personalized medical services. The proposed system architecture comprises six fundamental layers: the perception layer, network layer, edge computing layer, cloud service layer, application layer, and user interface layer, thereby achieving seamless integration from data collection to service delivery. Research findings demonstrate that, in comparison to traditional cloud computing architectures, the edge computing IoT system significantly reduces latency by 90%, decreases bandwidth utilization by 60%, and lowers energy consumption by 70%, while simultaneously enhancing system availability to 99.5%. The primary contributions of this research include: (1) the introduction of an innovative edge computing IoT community care architecture; (2) the development of a comprehensive system performance evaluation index; (3) the implementation of effective security and privacy protection mechanisms; and (4) the validation of the system's effectiveness in real-world applications. The results of this study possess considerable theoretical and practical implications for advancing smart healthcare, improving the quality of community care services, and stimulating innovation within health technology.
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