Novel algorithms to attain economical comfort control in residential spaces using Wireless Sensor Networks

In recent years many strides have been achieved in the areas of smart homes and Wireless Sensor Networks (WSNs). In this paper, both are utilized to achieve energy management regarding comfort control in residential spaces. New algorithms are designed to achieve comfort control in terms of temperature and relative humidity in these spaces. These algorithms are to be implemented on errorless Zigbee Wireless Sensor Networks (WSNs) over existing HVAC systems. They are then simulated using a Java-based discrete event simulator. The key addition of these algorithms is that each residential zone is treated independently, unlike current HVACs which deal with a residential floor as a whole. The results are compared to a ready-made simulator by DesignBuilder©, keeping the residential environment in both simulations exactly alike. The ensuing results prove that these new algorithms provide significant monetary savings over stand-alone HVAC systems.

[1]  Naif Alsharabi,et al.  Wireless sensor networks of battlefields hotspot: Challenges and solutions , 2008, 2008 6th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops.

[2]  A. Manjeshwar,et al.  TEEN: a routing protocol for enhanced efficiency in wireless sensor networks , 2001, Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001.

[3]  Kenzo Yonezawa,et al.  Next generation HVAC system for office buildings - The optimal control structure for DHC buildings - , 2009, 2009 ICCAS-SICE.

[4]  Hongfa Wang,et al.  A Robust Mechanism for Wireless Sensor Network Security , 2008, 2008 4th International Conference on Wireless Communications, Networking and Mobile Computing.

[5]  Andreas Krause,et al.  Intelligent light control using sensor networks , 2005, SenSys '05.

[6]  Shashank Jain,et al.  Bluetooth based implementations for realising new consumer systems , 2009, 2009 International Multimedia, Signal Processing and Communication Technologies.

[7]  W. P. Jones,et al.  Air Conditioning Engineering , 1967 .

[8]  S. Yamamoto,et al.  Wireless sensor network for industrial automation , 2008, 2008 5th International Conference on Networked Sensing Systems.

[9]  Jukka Vanhala,et al.  Energy Efficient Sensor Network with Service Discovery for Smart Home Environments , 2009, 2009 Third International Conference on Sensor Technologies and Applications.

[10]  I. Mazin,et al.  Theory , 1934 .

[11]  Eduardo Tovar,et al.  Time Sensitive IEEE 802.15.4 Protocol , 2007 .

[12]  Yang Xianglong,et al.  A Design of Greenhouse Monitoring & Control System Based on ZigBee Wireless Sensor Network , 2007, 2007 International Conference on Wireless Communications, Networking and Mobile Computing.

[13]  Hyun Yoe,et al.  Design and Implementation of Wireless Sensor Network for Ubiquitous Glass Houses , 2008, Seventh IEEE/ACIS International Conference on Computer and Information Science (icis 2008).

[14]  Dong-Sung Kim,et al.  Wireless Pet Dog Management Systems , 2007 .

[15]  Yu-Chee Tseng,et al.  Design and Implementation of a WSN-Based Intelligent Light Control System , 2008, 2008 The 28th International Conference on Distributed Computing Systems Workshops.