Wireless Sensor Networks Energy Optimization Using User Location Information in Smart Homes

Wireless sensor networks have received increased interest in different applications, including smart homes. One of the most important aspects of these networks is the energy consumption, which plays a crucial role in the usefulness of the implementations. In this paper, a new method for decreasing energy consumption is introduced. The method, called Location Based Latency Control (LBLC), will take advantage of the location information of the user in a smart home environment in order to optimize the energy-latency tradeoff present in many networks. The new method is tested by simulation based on power consumption measurements and location data gathered from a living test in actual smart home environment. The results show that using location information as a means of controlling the network parameters provides a useful and promising method in decreasing network energy consumption without sacrificing usability of the connected devices.

[1]  Jukka Vanhala,et al.  TileTrack: Capacitive human tracking using floor tiles , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.

[2]  Deborah Estrin,et al.  Geography-informed energy conservation for Ad Hoc routing , 2001, MobiCom '01.

[3]  Kenneth N. Brown,et al.  ER-MAC: A Hybrid MAC Protocol for Emergency Response Wireless Sensor Networks , 2010, 2010 Fourth International Conference on Sensor Technologies and Applications.

[4]  David E. Culler,et al.  Versatile low power media access for wireless sensor networks , 2004, SenSys '04.

[5]  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.

[6]  Bhaskar Krishnamachari,et al.  An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks , 2004, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings..

[7]  Jukka Vanhala,et al.  WSN Middleware for Existing Smart Homes , 2010, 2010 Fourth International Conference on Sensor Technologies and Applications.