Enabling resource-awareness for in-network data processing in wireless sensor networks

U. Rohm, M. Gaber, Q. Tse

Research output: Contribution to conferencePaperpeer-review

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Abstract

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 resource awareness 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.
Original languageEnglish
Pages95-102
Number of pages8
Publication statusPublished - 2008
EventThe Nineteenth Australasian Database Conference - Wollongong, New South Wales, Australia
Duration: 22 Jan 200825 Jan 2008

Conference

ConferenceThe Nineteenth Australasian Database Conference
Abbreviated titleADC 2008
Country/TerritoryAustralia
CityWollongong, New South Wales
Period22/01/0825/01/08

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