Design and implementation of rule-based uncertainty reasoning in Smart House

M2M is one of the sustained hot research area that envisaged to promote the growth of IoTs (Internet of Things) and can provide home-based preventive and auxiliary technology to household. Current researches are more focused on the sheer technological (e.g., protocol design, routing, data fusion, etc), but the defect of the current incomplete information observation and others technical gaps makes it difficult to design a practical Smart Home system for complex applications, such as scene identification, smart surveillance, even output for the occupants´ interest-oriented services. In this paper we design a Smart Home reasoning scenario, which use the knowledge in the form of Event-Condition-Action rules, and together with an efficient inference scheme which incorporates reasoning with uncertainty.