ADAPTIVE LIGHTING ENVIRONMENTS
System Architecture and Networking (SAN)
Eindhoven University of Technology
Introduction
In general, smart environments may consist of components with a variety of capability ranges interoperating and contributing their services in order to form a rich application, in which case service-based architectural frameworks used for providing smart services, such as OSGi and NoTA can be used. However, low capacity devices, e.g. luminaries and sensors, typically do not have the sufficient resources to support these architectural frameworks. We propose to adopt a gateway approach, where a high capacity gateway (e.g. a PC) acts as a bridge between a smart space of low capability lights and sensors, and another of high capability components. The gateway itself can be a part of the smart space as well, offering its services or making use of others’ services. Behind the gateway, the light and sensor nodes can interoperate through a lighter service-based architectural framework. Design ontologies and message formats in OSAS can be translated to the smart space ontologies and message formats with the help of the gateway with higher capabilities for resource monitoring, resource management and service quality management. We also propose to investigate how system components can be made such that future, as yet unforeseen, cooperation and adaptations are simply realizable, and actually work. For this, we can program the smart network using a single code rather than programming individual nodes, and then let each node handle their contributions to the overall application, while the application context remains completely transparent to services provided by individual nodes.
The main challenge is developing the software infrastructure to support multiple applications on top of a distributed system of resource-constrained devices. Aspects of reliability, programmability (by end users), viability (in terms of cost and deployment) and transparency of the technical infrastructure are among addressed challenges.
Videos (courtesy: Remco Magielse)
ALE was on a Russian TV Show!
A video of our earlier demo.
People Involved
Presentations (background):
Energy effect of on-node processing of ECG signals
Service and Resource Discovery in Smart Spaces Composed of Low Capacity Devices
On Smart Spaces: Status and Challenges in the Programming of sensor networks
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Last updated: 10-11-2010