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

U. Rohm; B. Scholz; M. Gaber

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

U. Rohm, B. Scholz, M. Gaber

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Chapter (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 language	English
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)
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

Cite this

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title = "On the integration of data stream clustering into a query processor for wireless sensor networks",

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.",

keywords = "adaptive clustering algorithm, data stream clustering integration, distributed query processor, wireless sensor networks, data integrity, query processing, telecommunication computing, wireless sensor networks",

author = "U. Rohm and B. Scholz and M. Gaber",

year = "2007",

month = may,

language = "English",

isbn = "1424412412",

pages = "331 --335",

booktitle = "Mobile Data Management, 2007 International Conference on",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "8th International Conference on Mobile Data Management (MDM 2007), pp. 331-335, Workshop on Data Intensive Sensor Networks (DISN07) ; Conference date: 07-05-2007 Through 11-05-2007",

}

Rohm, U, Scholz, B & Gaber, M 2007, On the integration of data stream clustering into a query processor for wireless sensor networks. in Mobile Data Management, 2007 International Conference on. Institute of Electrical and Electronics Engineers Inc., pp. 331 -335, 8th International Conference on Mobile Data Management (MDM 2007), pp. 331-335, Workshop on Data Intensive Sensor Networks (DISN07), Germany, 7/05/07.

TY - CHAP

T1 - On the integration of data stream clustering into a query processor for wireless sensor networks

AU - Rohm, U.

AU - Scholz, B.

AU - Gaber, M.

PY - 2007/5

Y1 - 2007/5

N2 - 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.

AB - 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.

KW - adaptive clustering algorithm

KW - data stream clustering integration

KW - distributed query processor

KW - wireless sensor networks

KW - data integrity

KW - query processing

KW - telecommunication computing

KW - wireless sensor networks

M3 - Chapter (peer-reviewed)

SN - 1424412412

SP - 331

EP - 335

BT - Mobile Data Management, 2007 International Conference on

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 8th International Conference on Mobile Data Management (MDM 2007), pp. 331-335, Workshop on Data Intensive Sensor Networks (DISN07)

Y2 - 7 May 2007 through 11 May 2007

ER -

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

Abstract

Workshop

Keywords

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