A Task Oriented Multiagent Model for Smart Home Utilizing Hierarchical Agent Architecture

Smart home is an extension of modern home automation system which possesses computational intelligence to solve problems in ubiquitous environment. Multiagent algorithm is frequently used to reduce uncertainty in pervasive environment. This research involves designing a multiagent model which consists of distributed task organizing agents. Each agent is responsible for specific task which is partially shared with a supervisor agent for final prediction. The agents are organized for time, place and event prediction. Agent architecture follows a layered approach with interconnected processing units. The system provides an efficient method to predict events with temporal characteristics based on user location.