A Hadoop-based Sensor Information Retrieval System as an Android APP for Intelligent Cities

• Main Authors: Wei-Ming Chen, 陳威鳴
• Other Authors: Chi-Yi Lin
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/82074082503982144778

碩士 === 淡江大學 === 資訊工程學系碩士班 === 102 === With the rapid development of modern cities, the demands for convenience of living in big cities are also increasing, which lead to the ubiquitous deployment of sensor devices in intelligent cities. It is without doubt that how to deal with the huge amount of data collected by various sensors in an efficient way and to transform these data to useful information for people to make use of has become an important research topic. In this thesis, we developed a sensor data retrieval system for the citizens to query the information that are stored in a Hadoop cluster. The sensor data are captured along the roads, and are embedded in the image files that were also taken along the roads. Therefore, the system is designed to allow citizens to view the street images around the city, as well as read the road conditions such as the temperature, humidity, carbon dioxide concentration, and so on. Furthermore, due to the popularity of smartphones, we developed an Android APP as the front end for citizens who would like to access the sensor data. Through this Android APP, users can be authenticated and then granted access to the system, in which the street images and the sensor data are stored in Hadoop Distributed File System (HDFS) and HBase, respectively. By clicking on the Google Maps user interface, users are able to view the road conditions along and nearby a specific route between the origin and the destination. We believe that the developed Android APP can contribute to better living of the citizens in intelligent cities.