MoSIoT: Modeling and Simulating IoT Healthcare-Monitoring Systems for People with Disabilities

The need to remotely monitor people with disabilities has increased due to growth in their number in recent years. The democratization of Internet of Things (IoT) devices facilitates the implementation of healthcare-monitoring systems (HMSs) that are capable of supporting disabilities and diseases. However, to achieve their full potential, these devices must efficiently address the customization demanded by different IoT HMS scenarios. This work introduces a new approach, called Modeling Scenarios of Internet of Things (MoSIoT), which allows healthcare experts to model and simulate IoT HMS scenarios defined for different disabilities and diseases. MoSIoT comprises a set of models based on the model-driven engineering (MDE) paradigm, which first allows simulation of a complete IoT HMS scenario, followed by generation of a final IoT system. In the current study, we used a real scenario defined by a recognized medical publication for a patient with Alzheimer’s disease to validate this proposal. Furthermore, we present an implementation based on an enterprise cloud architecture that provides the simulation data to a commercial IoT hub, such as Azure IoT Central.近年来，残疾人群体规模持续扩张，对其开展远程监测的需求日益提升。物联网（Internet of Things, IoT）设备的普及化推动了面向残疾与疾病照护的医疗监测系统（healthcare-monitoring systems, HMSs）的落地应用。然而，若要充分释放这类系统的潜力，相关设备必须高效适配不同物联网医疗监测系统场景下的个性化定制需求。 本研究提出一种全新方法，命名为物联网场景建模（Modeling Scenarios of Internet of Things, MoSIoT），该方法可支持医疗专家对针对不同残疾与疾病的物联网医疗监测系统场景进行建模与仿真。MoSIoT包含一系列基于模型驱动工程（model-driven engineering, MDE）范式的模型，能够先完成完整物联网医疗监测系统场景的仿真，随后自动生成最终的物联网系统。 在本研究中，我们采用一篇公认医学文献中记载的阿尔茨海默病患者护理真实场景对该方案进行了验证。此外，我们还基于企业级云架构实现了一套原型系统，该系统可向Azure IoT Central这类商用物联网枢纽提供仿真数据。