A Novel Internet of Things Paradigm for Smart Home Using Agent-Based Solution with Hybrid Intelligence

Smart home environments have evolved rapidly owing to the recent advances in the areas of wireless sensor network, Internet of Things, agents and artificial intelligence. In this paper, a novel paradigm for smart home using agent-based solution with hybrid intelligence is proposed. The purpose of this research is to realize a context-aware, ubiquitous, lifelong selflearning system. Fuzzy logic, artificial neural network, genetic algorithm, middleware and agents are all involved in our experiments, overcoming some existing technical challenges in smart home environment. Together with the architecture of our proposed system and detailed implementations, all of these are illustrated in this paper.