Design and implementation of a high-fidelity AC metering network

We present the architecture, design, and preliminary evaluation of ACme, a wireless sensor and actuator network for monitoring AC energy usage and controlling AC devices in a large and diverse building environment. The ACme system consists of three tiers: the ACme node which provides a metering and control interface to a single outlet, a network fabric which allows this interface to be exported to arbitrary IP endpoints, and application software that uses this networked interface to provide various power-centric applications. The ACme node integrates an Epic core module with a dedicated energy metering IC to provide real, reactive, and apparent power measurements, with optional control of an attached load. The network comprises a complete IPv6/6LoWPAN stack on every node and an edge router that connects to other IP networks. The application tier receives and stores readings in a database and uses a web server for visualization. Nodes automatically join the IPv6 subnet after being plugged in, and begin interactions with the application layer. We evaluate our system in a preliminary green building deployment with 49 nodes spread over several floors of a Computer Science Building and present energy consumption data from this preliminary deployment.

[1]  David E. Culler,et al.  Taming the underlying challenges of reliable multihop routing in sensor networks , 2003, SenSys '03.

[2]  Charles E. Perkins,et al.  Ad-hoc on-demand distance vector routing , 1999, Proceedings WMCSA'99. Second IEEE Workshop on Mobile Computing Systems and Applications.

[3]  Mark Lucente,et al.  Exploration on Load Signatures , 2004 .

[4]  Tohru Hoshi,et al.  A method of appliance detection based on features of power waveform , 2004, 2004 International Symposium on Applications and the Internet. Proceedings..

[5]  Philip Levis,et al.  Collection tree protocol , 2009, SenSys '09.

[6]  Ian F. Akyildiz,et al.  Wireless sensor networks , 2007 .

[7]  David E. Culler,et al.  A building block approach to sensornet systems , 2008, SenSys '08.

[8]  David E. Culler,et al.  An extended internet architecture for low-power wireless networks - design and implementation , 2008 .

[9]  Feng Zhao,et al.  Tiny web services: design and implementation of interoperable and evolvable sensor networks , 2008, SenSys '08.

[10]  Lili Qiu,et al.  S4: Small State and Small Stretch Routing Protocol for Large Wireless Sensor Networks , 2007, NSDI.

[11]  Kristofer S. J. Pister,et al.  TSMP: TIME SYNCHRONIZED MESH PROTOCOL , 2008 .

[12]  Mohamed El Hachemi Benbouzid.  A review of induction motors signature analysis as a medium for faults detection , 2000, IEEE Trans. Ind. Electron..

[13]  David E. Culler,et al.  Transmission of IPv6 Packets over IEEE 802.15.4 Networks , 2007, RFC.

[14]  Steven B. Leeb,et al.  Power signature analysis , 2003 .

[15]  J. Dobson,et al.  Conservation Effect of Immediate Electricity Cost Feedback on Residential Consumption Behaviour , 2009 .

[16]  Andreas Terzis,et al.  Minimising the effect of WiFi interference in 802.15.4 wireless sensor networks , 2007, Int. J. Sens. Networks.

[17]  Deborah Estrin,et al.  Centralized Routing for Resource-Constrained Wireless Sensor Networks (SYS 5) , 2006 .

[18]  S.R. Sanders,et al.  An Architecture for Local Energy Generation, Distribution, and Sharing , 2008, 2008 IEEE Energy 2030 Conference.

[19]  Qian Guo,et al.  Wide area power grid health state diagnosis and early warning system based on fault power flow fingerprint identification and MAS technology , 2008, 2008 Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies.

[20]  J.A. Paradiso,et al.  A Platform for Ubiquitous Sensor Deployment in Occupational and Domestic Environments , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.