Health-aware Information Collecting And Transmitting Based On Android Platform System Research And Implementation

With the rapid development of information technology, the IoT applications based onsensor technology and the cloud computing applications based on virtual technology, parallelcomputing technology become increasingly integrated into people’s daily lives. Sensor-basedmedical applications is greatly broaden the horizons of the people so that people are able to takeadvantage of the medical devices consisted of various sensors to detect their own health. But thisdetection is often a single, and need professionals to operate, analysis, judgment; this is ahospital-based medical model to bring a great deal of inconvenience and distress. For this reason,our system provides a new way of thinking and solutions, systems aimed at building cloud-basedhealth information system, and then establish the residents’ personal health records information,By information, intelligent, professional, reasonable to optimize the allocation of resources.Individuals can detect health status at any time, anywhere, and this system effective solution tothe shortcomings of the current health care system. Combining the latest Android platform, theInternet of Things technology, cloud computing platform, the paper achieved Health-awareinformation collecting and transmitting system.The main work of this paper is as follows:1. The first part is a brief introduction of the system mainly used cutting-edge technology.Described in detail about the basics of the Android platform and the Internet of Things in sensortechnology, as well as some basic knowledge of the cloud computing platform. Highlightsdescribing Android platform application development steps and some key technology of thesensors.2. The second part is the collection of health data in system. Perception through a variety ofmedical devices (sensor nodes), real-time perception of human health, including ECG, bloodpressure, oxygen saturation, body temperature, respiration, pulse and other data collection. Focuson designing of several important modules and the data structure of the health data collected, thedata is implemented by the802.11protocol to communicate with and transfer to the center of thesensor nodes, the802.11protocol research, the central node analysis and handles the data ofreceived individual perception node, and designed a simple but very effective packet format;3. The third part is the transmission and display of the data. The main content is theconnection between sensing device and Android platform, Bluetooth communication, protocolparsing of data, based on the traditional X86core central node and Linus2.6kernel-basedAndroid platform data transmission, data conversion, and finally to real-time data display to theAndroid platform, Android platform can transfer the data to the cloud platform.4. The fourth part is mainly theoretical research on wireless sensor networks. The part is anextension and the theory of sublimation to the front of the sensor practical application. Sensingdevice layer often have a large number of nodes, in practical applications we usually operate formany sensor nodes. Therefore, this chapter is mainly to study the clustering routing and three-dimensional positioning of the wireless sensor network, first proposed a clusteringmechanism based on the intersection of the circular structure model, which better improvednetwork performance, and then do the three-dimensional positioning of the sensor network,proposed an improved TDAPIT algorithm and from node localization errors and coverage,compared with the traditional algorithm.