WiFiUS: IoCT-CARE: Internet of Cognitive Things for Personalized Healthcare

物联网(IoT)和认知计算的最新进展为提供和改进医院内和日常设置的医疗解决方案提供了新的模式。IoT无处不在的计算特性使其能够持续监控和管理所有医疗保健关键指标。然而，这些实时任务关键型物联网应用既需要一致的体验质量(QOE)，也需要针对个人医疗保健环境的个性化。此外，还需要持久的电池供电无线传感器、可靠的网络连接和云服务。该项目旨在通过物联网基础设施和提供给最终用户的服务的个性化和整体耦合来解决这些挑战。该方法利用一种新颖的自我感知认知架构，通过学习最终用户行为并使物联网基础设施适应个人的当前状态、日常生活和环境，来提供高效的定制服务。该项目的示范应用--高效的早期检测危及生命的迹象--可以通过更好的护理质量和及时提供关键/紧急健康指标来潜在地拯救生命。虽然该项目将在医疗保健领域进行验证，但该项目的框架和服务也适用于其他物联网应用领域。该项目的国际协作性质将丰富学生和研究人员的学习体验，使他们面临开发物联网服务的挑战，以便在医疗保健领域提供至关重要的服务。体验质量(QOE)是成功交付物联网应用的最终用户服务的关键指标。在物联网系统堆栈的多个级别(应用、网络、资源和设备级别)面临资源限制和动态变化的情况下，实现一致的最终用户QOE带来巨大挑战。个性化-通过物联网基础设施和最终用户服务的整体耦合-提供了一个关键机会来管理和利用这些变化，并在资源受限的情况下提供定制的QOE。本建议书概述了一种自我感知的认知物联网(IoCT)架构，该架构利用边缘(即雾)计算架构在集成的多尺度物联网系统中引入智能和适应性。其目标是有效地管理不同规模的物联网系统的信息获取、通信和处理，同时协同耦合最终用户行为的学习，以提供高效的定制服务。个性化医疗保健这一引人注目的使用案例将被用作一大类支持物联网的应用程序的范例，这些应用程序可以利用由多层、自我感知的物联网架构支持的个性化，并从中受益。

Recent advances in Internet-of-Things (IoT) and cognitive computing promise new modalities for delivering and improving healthcare solutions, both for in-hospital and everyday settings. The ubiquitous computing nature of IoT enables continuous monitoring and management of all healthcare vitals. However, these real-time mission-critical IoT applications demand both a consistent Quality of Experience (QoE), as well as personalization for individual health care contexts. Additionally, there is a need for long-lasting battery-powered wireless sensors, reliable network connectivity, and cloud services. This project aims to solve these challenges via personalization and holistic coupling of the IoT infrastructure and the services provided to end users. The approach utilizes a novel self-aware cognitive architecture that delivers efficient and customized services by learning from end user behavior and adapting the IoT infrastructure to a person's current state, daily life routine, and environment. The project's exemplar application - efficient early detection of life-threatening signs - can potentially save lives through better quality of care, and timely delivery of critical/urgent health indicators. While the project will be validated in the healthcare domain, the project's framework and services are applicable to a broad range of other IoT application domains. The international collaborative nature of this project will enrich the learning experience of students and researchers by exposing them to the challenges of developing IoT services for delivering life-critical services in the healthcare domain.Quality of Experience (QoE) is a key metric for successful delivery of end-user services for IoT-enabled applications. Achieving consistent end-user QoE poses tremendous challenges in the face of resource constraints and dynamic variations at multiple scales of the IoT system stack: at the application, network, resource, and device levels. Personalization - through holistic coupling of both the IoT infrastructure, as well as end-user services - provides a key opportunity to manage and exploit these variations and deliver customized QoE under resource constraints. This proposal outlines a self-aware Internet of Cognitive Things (IoCT) architecture that leverages edge (i.e., Fog) computing architectures to introduce intelligence and adaptability in integrated multi-scale IoT systems. The objective is to efficiently manage information acquisition, communication and processing across different scales of the IoT systems, while synergistically coupling learning of end-user behaviors to deliver efficient and customized services. The compelling use case of personalized healthcare will be used as an exemplar for a large class of IoT-enabled applications that can exploit and benefit from personalization empowered by a multi-layered, self-aware IoCT architecture.