Lower Layers of a Cloud Driven Smart Home System

This presented article introduces utilization of a cloud solution as a part of inovative smart home system (HAUSY - Home Automation System). This solution is based on highly modular structure, which ensures a unique solution for individual implementations. In scope of the presented solution, a universal architecture not requiring a specialized hardware for its utilization is suggested. In the first part, the original three-part smart home system architecture and the functionality of individual layers are introduced. The second part of the article introduces a specific solution for functionalities and communication between individual end nods and microcontrollers. The suggested solution is unique for its option of personalizations of user access and priorities, comfortable interface for defining rules of autonomous operations, and the option of connecting external systems via a unified API with the option of using cloud.

[1]  Hui-Zhen Gu,et al.  Personal Based Authentication by Face Recognition , 2008, 2008 Fourth International Conference on Networked Computing and Advanced Information Management.

[2]  Hui-Zhen Gu,et al.  Integration of Face and Hand Gesture Recognition , 2008, 2008 Third International Conference on Convergence and Hybrid Information Technology.

[3]  Li-Chen Fu,et al.  Service-Oriented Smart-Home Architecture Based on OSGi and Mobile-Agent Technology , 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[4]  Christos Douligeris,et al.  Home Automation , 2008, Wiley Encyclopedia of Computer Science and Engineering.

[5]  Young-Guk Ha,et al.  A robotic service framework supporting automated integration of ubiquitous sensors and devices , 2007, Inf. Sci..

[6]  Bo Yang,et al.  Smart home research , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).

[7]  He Jian,et al.  Modeling the Ambient Intelligence Application System: Concept, Software, Data, and Network , 2009, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).

[8]  Guo-Chang Gu,et al.  [IEEE 2004 International Conference on Machine Learning and Cybernetics - Shanghai, China (26-29 Aug. 2004)] Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826) - Research on particle swarm optimization: a review , 2004 .