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2008
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Enabling Resource-Awareness for In-Network Data Processing in Wireless Sensor Networks

8 years 9 months ago
Enabling Resource-Awareness for In-Network Data Processing in Wireless Sensor Networks
The next-generation of wireless sensor platforms allows for more advanced in-network data processing. The central challenge remains energy and communication efficiency. This paper presents a resourceawareness framework for wireless sensor networks that allows in-network data processing to adapt to changing resource levels such as battery power or available memory. We have implemented the proposed framework as part of a query processing system for the Sun SPOT sensor network platform. As a case study, we have applied the framework to the query processor’s on-line data clustering algorithm, making it resource-aware. In an experimental study, we demonstrate how communication costs can be significantly reduced by de-coupling clustering and data communication. The results also show the effectiveness of the resource-aware clustering algorithm: It can keep a constant memory footprint for only a marginal acceptable error in result accuracy.
Uwe Röhm, Mohamed Medhat Gaber, Quincy Tse
Added 01 Jun 2010
Updated 01 Jun 2010
Type Conference
Year 2008
Where ADC
Authors Uwe Röhm, Mohamed Medhat Gaber, Quincy Tse
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