ResiDI: An Intelligent Decision Platform for Residential Infrastructure Using Wireless Sensors and Actuators

This work proposes an intelligent decision system for a residential infrastructure based on wireless sensors and actuator networks, called ResiDI. In order to achieve this, the proposal is based on the development of a neural network that aims to increase the accuracy in the decision-making, and a temporal correlation mechanism that aims to reduce the energy consumption of the network. When compared with an approach adopted in the literature, both simulated and real results show that ResiDI reduces the energy consumption of its network, while maintaining a degree of accuracy in the decision-making.

[1]  Fernando Santos Osório,et al.  Self-localisation in indoor environments combining learning and evolution with wireless networks , 2014, SAC.

[2]  Ayman I. Kayssi,et al.  Low Cost Arduino/Android-Based Energy-Efficient Home Automation System with Smart Task Scheduling , 2013, 2013 Fifth International Conference on Computational Intelligence, Communication Systems and Networks.

[3]  Ian F. Akyildiz,et al.  Wireless sensor and actor networks: research challenges , 2004, Ad Hoc Networks.

[4]  Jianbin Zhang,et al.  An IoT-based appliance control system for smart homes , 2013, 2013 Fourth International Conference on Intelligent Control and Information Processing (ICICIP).

[5]  Alex R. Pinto,et al.  NodePM: A Remote Monitoring Alert System for Energy Consumption Using Probabilistic Techniques , 2014, Sensors.

[6]  LimJae-Hyun,et al.  Smart home energy management system using IEEE 802.15.4 and zigbee , 2010 .

[7]  Leandro A. Villas,et al.  An intelligent approach for improving energy efficiently in smart grids , 2013 .

[8]  Xiangyu Wang,et al.  Context-aware inference in ubiquitous residential environments , 2014, Comput. Ind..

[9]  Albert Y. Zomaya,et al.  A control and decision system for smart buildings using wireless sensor and actuator networks , 2014, Trans. Emerg. Telecommun. Technol..

[10]  Manjiri Pathak,et al.  Smart Home System using Android Application , 2015 .

[11]  Dae-Man Han,et al.  Smart home energy management system using IEEE 802.15.4 and zigbee , 2010, IEEE Transactions on Consumer Electronics.

[12]  A. Asuncion,et al.  UCI Machine Learning Repository, University of California, Irvine, School of Information and Computer Sciences , 2007 .

[13]  Seung Ho Hong,et al.  Implementation of a KNX-ZigBee gateway for home automation , 2009, 2009 IEEE 13th International Symposium on Consumer Electronics.

[14]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[15]  Yung-Chih Liu,et al.  Wireless Sensor Network and Sensor Fusion Technology for Ubiquitous Smart Living Space Applications (Invited Paper) , 2008, 2008 Second International Symposium on Universal Communication.