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Fog Computing and Edge Computing for the Strengthening of Structural Monitoring Systems in Health and Early Warning Score Based on Internet of Things
Abstract
Currently, with the implementation of IoT, it is expected that medicine and health obtain a great benefit derived from the development of portable devices and connected sensors, which allow acquiring and communicating data on symptoms, vital signs, medicines, and activities of daily life that can affect health. Despite the possible benefits of health services assisted by IoT, there are barriers such as the storage of data in the cloud for analysis by physicians, the security and privacy of the data that are communicated, the cost of communication of the data that is collected, and the manipulation and maintenance of the sensors. This chapter intends to deploy and develop the context of the IoT platforms in the field of health and medicine by means of the transformation of edge and fog computing, as intermediate layers that provide interfaces between heterogeneous networks, networks inherited infrastructure, and servers in the cloud for the ease of data analysis and connectivity in order to implement a structural health monitoring based on IoT for application of early warning score.
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