Smart Car Use Case
Rustam Rakhimov Igorevich, Dugki Min · 2015
Big Data becomes un-detachable part of the highly scalable applications in Internet of Things. In this work we introduce use case of Dynamic Reconfigurable IoT convergence with Big Data. Dynamic Reconfigurable IoT framework was developed based on OSGi (Open Service Gateway initiative) to be cross-platform and flexible framework. Suggested Dynamic Reconfigurable IoT Framework has been applied to Smart Car with CAN, MOST Networks. Drowsiness detection module was suggested as an application module for Dynamic Reconfigurable IoT framework. Usage of Big Data techniques in storing and processing IoT generated data is necessary to provide additional services. Smart Car uses MQTT protocol to communicate with the IoT Server to deliver generated sensor and video data. When the sensor and video data delivered to IoT Server, it is saved in HDFS to perform further processing and final processed data stored in MongoDB. The owner of the Smart Car can get different services and advices from the IoT Server through the popular REST web interface.