TAILIEUCHUNG - Evaluation of the Impact of Furniture on Communications Performance for Ubiquitous Deployment of Wireless Sensor Networks in Smart Homes

In addition to this exhaustive analysis, an estimation tool it has been built, since in most of the cases the performance of a network can only be known after deployment in a particular environment. If some problems are detected they will need to be solved in a second iteration. Therefore, an estimation tool was considered relevant for these situations in order to guide the network designer, and also for the selection of the furniture materials. In this work, we try to solve this problem by proposing a Computer-Aided Design (CAD) software tool for non-expert users. Accurate models require a. | Sensors 2012 12 6463-6496 doi s120506463 OPEN ACCESS sensors ISSN 1424-8220 journal sensors Article Evaluation of the Impact of Furniture on Communications Performance for Ubiquitous Deployment of Wireless Sensor Networks in Smart Homes Andrés L. Bleda 1 Antonio J. Jara 2 Rafael Maestre 1 Guadalupe Santa 1 and Antonio F. Gómez Skarmeta 2 1 Department of Electronics and Home Automation Furniture and Wood Technology Centre Yecla 30510 Murcia Spain E-Mails . . 2 Department of Information and Communications Engineering University of Murcia Murcia 30003 Spain E-Mails jara@ . skarmeta@ . Author to whom correspondence should be addressed E-Mail Tel. 34-968-752-040. Received 1 April 2012 in revised form 8 May 2012 Accepted 14May 2012 Published 16 May 2012 Abstract The extensions of the environment with the integration of sensing systems in any space in conjunction with ubiquitous computing are enabling the so-called Smart Space Sensor Networks. This new generation of networks are offering full connectivity with any object through the Internet of Things IoT and or the Web . the Web of Things. These connectivity capabilities are making it feasible to sense the behaviours of people at home and act accordingly. These sensing systems must be integrated within typical elements found at home such as furniture. For that reason this work considers furniture as an interesting element for the transparent location of sensors. Furniture is a ubiquitous object . it can be found everywhere at home or the office and it can integrate and hide the sensors of a network. This work addresses the lack of an exhaustive study of the effect of furniture on signal losses. In addition an easy-to-use tool for estimating the robustness of the communication channel among the sensor nodes and gateways is proposed. Specifically the losses in a sensor network signal due to the materials found .

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