Sensors Data-Stream Processing Middleware based on Multi-Agent Model

Abstract

The goal of this study is to propose an architecture for an intelligent sensor data processing middleware. In order to fulfill the ambient assisted living data processing requirements we design a flexible and scalable architecture based on multi-agent model. This architecture allows acquisition, interpretation and aggregation of sensor data-streams. Our system is able to process different sensor data-streams, to adapt to different levels of abstraction, to define different data-processing workflows. An extended operators over data stream language is used to define workflows. Different types of agents (simple sensor agent, logic sensor agent, virtual sensor agent etc) are defined. The designed system is a domain independent multi-agent system which can be instantiated for particular AmI problems. The middleware architecture will use a healthcare system for validation.