Integrating Sensor Networks for Energy Monitoring with Service-Oriented Architectures

More accurate predictions of energy consumption are a strong motivator for utility providers to deploy a smart grid infrastructure. However, measurements which only reflect the consumption of a household lose the details associated with the behaviour of individual devices. Finding a flexible and efficient way to process these readings is essential. Using standard application techniques to integrate device-oriented sensor networks and data-oriented applications is a serious challenge due to the architectural gap between the different approaches. Additionally, this device-level information should be shared with the end-users in a trusted manner to increase their energy awareness. We propose a novel platform for the smart grid which enables the seamless integration of sensor networks with a service-oriented architecture approach. The platform hides the device-specific details from the applications and transforms data into a device-independent format. Specifically, we present an in-depth description of the architecture of our platform and a full implementation and evaluation of it in a live residential energy management deployment.

[1]  Hussein T. Mouftah,et al.  Wireless Sensor Networks for Cost-Efficient Residential Energy Management in the Smart Grid , 2011, IEEE Transactions on Smart Grid.

[2]  Dong-Sun Kim,et al.  A Power Line Communication Modem Based on Adaptively Received Signal Detection for Networked Home Appliances , 2007, IEEE Transactions on Consumer Electronics.

[3]  Christoph Goebel,et al.  Forecasting driving behavior to enable efficient grid integration of plug-in electric vehicles , 2012, 2012 IEEE Online Conference on Green Communications (GreenCom).

[4]  Opher Etzion,et al.  Event Processing in Action , 2010 .

[5]  David A Chappell,et al.  Enterprise Service Bus , 2004 .

[6]  Lucio Soibelman,et al.  Enhancing Electricity Audits in Residential Buildings with Nonintrusive Load Monitoring , 2010 .

[7]  A. Sleman,et al.  SOA distributed operating system for managing embedded devices in home and building automation , 2011, IEEE Transactions on Consumer Electronics.

[8]  Spyridon L. Tompros,et al.  Enabling applicability of energy saving applications on the appliances of the home environment , 2009, IEEE Network.

[9]  Paulo F. Pires,et al.  A Flexible Middleware System for Wireless Sensor Networks , 2003, Middleware.

[10]  Dirk Timmermann,et al.  Service-Oriented Software Architecture for Sensor Networks , 2003 .

[11]  Michele Zorzi,et al.  The Deployment of a Smart Monitoring System Using Wireless Sensor and Actuator Networks , 2010, 2010 First IEEE International Conference on Smart Grid Communications.

[12]  Stefan Saroiu,et al.  An Operating System for the Home , 2012, NSDI.

[13]  Sehyun Park,et al.  Development of a self-adapting intelligent system for building energy saving and context-aware smart services , 2011, IEEE Transactions on Consumer Electronics.

[14]  Adam Dunkels,et al.  Efficient application integration in IP-based sensor networks , 2009, BuildSys '09.

[15]  E. Williams,et al.  Use of a Computer-Based System to Measure and Manage Energy Consumption in the Home , 2006, Proceedings of the 2006 IEEE International Symposium on Electronics and the Environment, 2006..

[16]  Douglas Crockford,et al.  The application/json Media Type for JavaScript Object Notation (JSON) , 2006, RFC.

[17]  Cristina Alcaraz,et al.  A Security Analysis for Wireless Sensor Mesh Networks in Highly Critical Systems , 2010, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).