Abstract
Due to the huge scale of the Internet of Health Things (IoHT), various research methods currently applied in the field of Internet of Health Things are limited to the technical problems themselves, which lack a macro grasp of the entire Internet of Things (IoT) system. The verification of the proposed technical scheme requires the purchase of a large number of hardware devices, but as a result, only relatively limited research models can be constructed, which makes the entire system long management cycle and high management cost. Based on the research of particle swarm optimization algorithm, this paper finds its shortcomings and makes corresponding improvements. A new improved method of particle swarm optimization algorithm is proposed. By introducing the method of average particle distance and population distribution entropy in the algorithm search process, the inertia weight is dynamically changed. This is conducive to the improvement of the optimization efficiency of the particle swarm optimization algorithm, and has a good optimization accuracy. A IoHTs modeling method for component collaboration is proposed, and the IoHTs component library is designed according to the proposed modeling method. At the same time, this article discusses the XModel modeling simulation platform, and builds a IoHTs component model based on this platform, and has completed the verification of the validity of the proposed modeling method and the feasibility of the IoHTs IPv6 communication scheme. The component library designed in the XModel platform is based on the functions of IoT devices, and the components have more complete network communication features. The XModel platform specifically customizes the CMIoT component library, and supports the continuous expansion of the component library and the continuous refinement of component functions, providing a new method for communication research in the Internet of Health Things field.
Highlights
With the development of information technology, the Internet of Things, cloud technology, and artificial intelligence have played a great role in the development of cities, allowing people to see the dawn of using a new generation of information technology to solve urban problems [1,2,3]
The US Food and Drug Administration has used radio frequency identification technology in the medical field to supervise drugs through RFID tags [7]. This is the embryonic form of smart medical care, and the Internet of Things has begun to be linked to the medical industry [8]
As a huge and complex CPS system, the Internet of Health Things has established a complete system model at the beginning of the system design, which is conducive to the overall grasp of the system from a macro perspective
Summary
With the development of information technology, the Internet of Things, cloud technology, and artificial intelligence have played a great role in the development of cities, allowing people to see the dawn of using a new generation of information technology to solve urban problems [1,2,3]. France Withings released a product and subsequently released a human scale based on the Internet of Things in many countries [30] This product can measure the user's weight and fat content in the body, and the measured data can be uploaded to the server via the Internet. Japan’s research on the mobility of fitness management has a considerable proportion, such as life shine fitness management switch [33,34,35] This system mainly uses mobile phones to connect to medical sensors worn by users to monitor body-related fitness parameters. Second: Combining the CPS system modeling theory and related research results in the field, a component collaborative modeling method is proposed, and based on the XModel modeling simulation platform and the designed component library, a component model of the Internet of Health Things is constructed.
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