Collaboratively querying sensor networks through handheld devices

Tsz Wai Chiu; Qiong Luo

doi:10.1109/MDM.2007.14

Collaboratively querying sensor networks through handheld devices

Tsz Wai Chiu, Qiong Luo

Department of Computer Science and Engineering

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

1 Citation (Scopus)

Abstract

We envision that in some wireless sensor network applications, such as environmental monitoring, assisted living, and industrial control, handheld devices will be used from time to time to query the sensor networks. However, there is no full-fledged query processor for this purpose. Therefore, we propose WinyDB, a relational query processing system on Windows-CE based PDAs (Personal Digital Assistants) for sensor networks. One of the main features of WinyDB is that multiple PDAs running WinyDB can answer queries collaboratively. This feature is useful in that it improves both the energy efficiency and the data quality. Our WinyDB prototype package is available online at http://www.cse.ust.hk/winydb and our simulation experiments have shown promising results on collaborative query processing.

Original language	English
Title of host publication	Proceedings - 8th International Conference on Mobile Data Management, MDM 2007
Pages	30-35
Number of pages	6
DOIs	https://doi.org/10.1109/MDM.2007.14
Publication status	Published - 2007
Event	8th International Conference on Mobile Data Management, MDM 2007 - Mannheim, Germany Duration: 7 May 2007 → 11 May 2007

Publication series

Name	Proceedings - IEEE International Conference on Mobile Data Management
ISSN (Print)	1551-6245

Conference

Conference	8th International Conference on Mobile Data Management, MDM 2007
Country/Territory	Germany
City	Mannheim
Period	7/05/07 → 11/05/07

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

Access to Document

10.1109/MDM.2007.14

Cite this

@inproceedings{c000e6633c20438aa278910d4f0f37ab,

title = "Collaboratively querying sensor networks through handheld devices",

abstract = "We envision that in some wireless sensor network applications, such as environmental monitoring, assisted living, and industrial control, handheld devices will be used from time to time to query the sensor networks. However, there is no full-fledged query processor for this purpose. Therefore, we propose WinyDB, a relational query processing system on Windows-CE based PDAs (Personal Digital Assistants) for sensor networks. One of the main features of WinyDB is that multiple PDAs running WinyDB can answer queries collaboratively. This feature is useful in that it improves both the energy efficiency and the data quality. Our WinyDB prototype package is available online at http://www.cse.ust.hk/winydb and our simulation experiments have shown promising results on collaborative query processing.",

author = "Chiu, \{Tsz Wai\} and Qiong Luo",

year = "2007",

doi = "10.1109/MDM.2007.14",

language = "English",

isbn = "1424412404",

series = "Proceedings - IEEE International Conference on Mobile Data Management",

pages = "30--35",

booktitle = "Proceedings - 8th International Conference on Mobile Data Management, MDM 2007",

note = "8th International Conference on Mobile Data Management, MDM 2007 ; Conference date: 07-05-2007 Through 11-05-2007",

}

Chiu, TW & Luo, Q 2007, Collaboratively querying sensor networks through handheld devices. in Proceedings - 8th International Conference on Mobile Data Management, MDM 2007., 4417121, Proceedings - IEEE International Conference on Mobile Data Management, pp. 30-35, 8th International Conference on Mobile Data Management, MDM 2007, Mannheim, Germany, 7/05/07. https://doi.org/10.1109/MDM.2007.14

Collaboratively querying sensor networks through handheld devices. / Chiu, Tsz Wai; Luo, Qiong.
Proceedings - 8th International Conference on Mobile Data Management, MDM 2007. 2007. p. 30-35 4417121 (Proceedings - IEEE International Conference on Mobile Data Management).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - Collaboratively querying sensor networks through handheld devices

AU - Chiu, Tsz Wai

AU - Luo, Qiong

PY - 2007

Y1 - 2007

N2 - We envision that in some wireless sensor network applications, such as environmental monitoring, assisted living, and industrial control, handheld devices will be used from time to time to query the sensor networks. However, there is no full-fledged query processor for this purpose. Therefore, we propose WinyDB, a relational query processing system on Windows-CE based PDAs (Personal Digital Assistants) for sensor networks. One of the main features of WinyDB is that multiple PDAs running WinyDB can answer queries collaboratively. This feature is useful in that it improves both the energy efficiency and the data quality. Our WinyDB prototype package is available online at http://www.cse.ust.hk/winydb and our simulation experiments have shown promising results on collaborative query processing.

AB - We envision that in some wireless sensor network applications, such as environmental monitoring, assisted living, and industrial control, handheld devices will be used from time to time to query the sensor networks. However, there is no full-fledged query processor for this purpose. Therefore, we propose WinyDB, a relational query processing system on Windows-CE based PDAs (Personal Digital Assistants) for sensor networks. One of the main features of WinyDB is that multiple PDAs running WinyDB can answer queries collaboratively. This feature is useful in that it improves both the energy efficiency and the data quality. Our WinyDB prototype package is available online at http://www.cse.ust.hk/winydb and our simulation experiments have shown promising results on collaborative query processing.

UR - https://openalex.org/W2087859095

UR - https://www.scopus.com/pages/publications/48649109274

U2 - 10.1109/MDM.2007.14

DO - 10.1109/MDM.2007.14

M3 - Conference Paper published in a book

SN - 1424412404

SN - 9781424412402

T3 - Proceedings - IEEE International Conference on Mobile Data Management

SP - 30

EP - 35

BT - Proceedings - 8th International Conference on Mobile Data Management, MDM 2007

T2 - 8th International Conference on Mobile Data Management, MDM 2007

Y2 - 7 May 2007 through 11 May 2007

ER -

Collaboratively querying sensor networks through handheld devices

Abstract

Publication series

Conference

UN SDGs

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