Research And Implementation Of The Key Technologies On Data Collection Based On Participatory Sensing System

With the improvement of communication technology, mobile phones are developing more intelligent and opening. At the same time, modern mobile devices are usually embedded with multi-sensors, which make it important to analysis the large sensing data collected from users’ mobile phones. The problem proposed above leads to the participatory sensing system. The key idea behind participatory sensing is to empower ordinary citizens to collect and share sensed data from their surrounding environments using their sensors in mobile phones, such as camera, microphone and some others. In this paper, we propose a mobile devices-based terminal to collect sensing data based on the participatory sensing architecture.In this thesis, we mainly aim to analysis the data from multi-sensors, and implement the functions of data collection and data upload based on the framework of participatory sensing system. In the system designing, data collection is two-fold:collecting by terminal application and collection by users, where the method of collecting by users mainly depends on taking photos. Then, we upload the data to the system as the valid data after analyzing and encapsulating. In the procedure of uploading, two methods are realized (real-time upload and batch upload). Also, due to the strong relationship between collecting procedure and energy consumption, we propose a simple method to address the problem of resource optimization. In this part, we infer the user’s context by analyzing the sensor data of his/her mobile phone. Then we adjust the collection frequency according to the different context to achieve optimizing the resource.Finally, we compare the sensing data on the server with the data collected by terminal. In this way, we evaluate the performance of the mobile terminal on data collecting and data uploading.