The Web on the meter: IPv6, REST, and other enabling technologies
Supervisor: Dominique Guinard
Talk: April 13, 2010
Report due: April 6, 2010 (First version) April, 27 2010 (Camera ready version)
Abstract:
Many efforts are currently going towards networking smart electricity meters on a global scale. Rather than exposing their data and functionality through proprietary and tightly-coupled interfaces, smart meter shall soon become fully web-enabled devices. In this way, smart meters applications can be programmed using popular web languages (e.g., HTML, JavaScript, php) and well-know web primitives (e.g., browsing, bookmarking, caching) can be leveraged to implement mechanisms for handling electricity consumption data. Furthermore, once "on the web" smart meters can be integrated in existing frameworks, like social networks or data visualization platforms.
In this talk, we will first provide an overview of existing technologies that can support the integration of smart meters into the web. In particular, we will discuss the IPv6 lowpan protocol, the use of a resource oriented architecture (REST) and the use of WS-* standard web services. We will analyze these techniques in terms of ease of use, integration and security and present examples of innovative applications built on top of web-enabled smart meters.
Recommended bibliography:
- Nissanka B. Priyantha, Aman Kansal, Michel Goraczko, and Feng Zhao
Tiny Web Services: Design and Implementation of Interoperable and Evolvable Sensor Networks.
Proceedings of the 6th ACM conference on Embedded network sensor systems (SenSys 2008), Raleigh, NC, USA, November 5-7, 2008
- Lars Schor, Philipp Sommer, and Roger Wattenhofer
Towards a Zero-Configuration Wireless Sensor Network Architecture for Smart Buildings.
Proceedings of the 1st ACM Workshop On Embedded Sensing Systems For Energy-Efficiency In Buildings (BuildSys 2009), Berkeley, California, USA, November 3, 2009
- Dominique Guinard, Vlad Trifa, and Erik Wilde
Architecting a Mashable Open World Wide Web of Things.
Technical report 663, ETH Zurich, Institute for Pervasive Computing, February 2010
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