Large-Scale USN middleware based on context-aware

This paper designs LS-ware (Large-Scale USN middleware) in order to collect and save large-scale sensing data and to analyze collected data and run status sensing function. LS-ware not only provides USN middleware's basic function such as Meta information, quality process, or status management, but also makes large-scale sensing data light-weighted and provides a suitable event processing feature. LS-ware develops and utilizes a four level scheduling algorithm for continuous large-scale sensing data collection. In order to manage sensing data more effectively, it parses data packet structure, extracts information, and looses data's weight. It recognizes an event from light weighted sensing data, and sends the status information to a client.