Mobility-Aware Resource Management in Multi-Inhabitant Smart Home

This project aims at developing a smart space. In order to extract the best performance and efficacy of smart computing environments, one needs a technology-independent, context-aware platform spanning over multiple inhabitants. In this project we have developed a framework for mobility-aware resource management in multi-inhabitant smart home, based on a dynamic, cooperative reinforcement learning technique. This results in adaptive control of automated devices and temperature of the house, thus providing an amicable environment and sufficient comfort to the inhabitants.