On the integration of data stream clustering into a query processor for wireless sensor networks

U. Rohm, B. Scholz, M. Gaber

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

Abstract

We discuss the integration of on-line data stream clustering into a distributed query processor for wireless sensor networks (WSNs). Our approach is to combine an adaptive clustering algorithm with in-network data processing by introducing specialised query operators that implement stateful stream processing. We have implemented a testbed for an on-line clustering algorithm as part of a query processing system for the Sun SPOT sensor network platform. The paper discusses the design alternatives for continuous stream clustering in WSNs and for the integration of the resource-awareness to be able to trade result accuracy for resource consumption.
Original languageEnglish
Title of host publicationMobile Data Management, 2007 International Conference on
PublisherIEEE
Pages331 -335
Number of pages5
ISBN (Print)1424412412
Publication statusPublished - May 2007
Event8th International Conference on Mobile Data Management (MDM 2007), pp. 331-335, Workshop on Data Intensive Sensor Networks (DISN07) - Mannheim, Germany
Duration: 7 May 200711 May 2007

Workshop

Workshop8th International Conference on Mobile Data Management (MDM 2007), pp. 331-335, Workshop on Data Intensive Sensor Networks (DISN07)
CountryGermany
Period7/05/0711/05/07

Keywords

  • adaptive clustering algorithm
  • data stream clustering integration
  • distributed query processor
  • wireless sensor networks
  • data integrity
  • query processing
  • telecommunication computing
  • wireless sensor networks

Fingerprint

Dive into the research topics of 'On the integration of data stream clustering into a query processor for wireless sensor networks'. Together they form a unique fingerprint.

Cite this