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 language | English |
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| Title of host publication | Mobile Data Management, 2007 International Conference on |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 331 -335 |
| Number of pages | 5 |
| ISBN (Print) | 1424412412 |
| Publication status | Published - May 2007 |
| Event | 8th International Conference on Mobile Data Management (MDM 2007), pp. 331-335, Workshop on Data Intensive Sensor Networks (DISN07) - Mannheim, Germany Duration: 7 May 2007 → 11 May 2007 |
Workshop
| Workshop | 8th International Conference on Mobile Data Management (MDM 2007), pp. 331-335, Workshop on Data Intensive Sensor Networks (DISN07) |
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| Country/Territory | Germany |
| Period | 7/05/07 → 11/05/07 |
Keywords
- adaptive clustering algorithm
- data stream clustering integration
- distributed query processor
- wireless sensor networks
- data integrity
- query processing
- telecommunication computing
- wireless sensor networks