An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks

Tariq A.A. Alsbouí; Mohammad Hammoudeh; Zuhair Bandar; Andy Nisbet

An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks

Tariq A.A. Alsbouí, Mohammad Hammoudeh, Zuhair Bandar, Andy Nisbet

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Recent advances in wireless communication have made it possible to develop low-cost, and low power Wireless Sensor Networks (WSN). The WSN can be used for several application areas (e.g., habitat monitoring, forest fire detection, and health care). WSN Information Extraction (IE) techniques can be classified into four categories depending on the factors that drive data acquisition: event-driven, time-driven, query-based, and hybrid. This paper presents a survey of the state-of-the-art IE techniques in WSNs. The benefits and shortcomings of different IE approaches are presented as motivation for future work into automatic hybridisation and adaptation of IE mechanisms.

Original language	English
Title of host publication	SENSORCOMM 2011
Subtitle of host publication	The Fifth International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management
Editors	Jens Martin Hovem, Joshua Ellul, Laurent Gomez, Yenumula Reddy
Publisher	International Academy, Research, and Industry Association (IARIA)
Pages	255-260
Number of pages	6
ISBN (Print)	9781612081441
Publication status	Published - 21 Aug 2011
Externally published	Yes
Event	5th International Conference on Sensor Technologies and Applications & 1st International Workshop on Sensor Networks for Supply Chain Management - Nice/Saint Laurent du Var, France Duration: 21 Aug 2011 → 27 Aug 2011 Conference number: 5 & 1

Conference

Conference	5th International Conference on Sensor Technologies and Applications & 1st International Workshop on Sensor Networks for Supply Chain Management
Abbreviated title	SENSORCOMM 2011& WSNSCM 2011
Country/Territory	France
City	Nice/Saint Laurent du Var
Period	21/08/11 → 27/08/11

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Alsbouí, T. A. A., Hammoudeh, M., Bandar, Z., & Nisbet, A. (2011). An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks. In J. M. Hovem, J. Ellul, L. Gomez, & Y. Reddy (Eds.), SENSORCOMM 2011: The Fifth International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management (pp. 255-260). International Academy, Research, and Industry Association (IARIA). https://www.thinkmind.org/index.php?view=article&articleid=sensorcomm_2011_10_30_10311

Alsbouí, Tariq A.A. ; Hammoudeh, Mohammad ; Bandar, Zuhair et al. / An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks. SENSORCOMM 2011: The Fifth International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management. editor / Jens Martin Hovem ; Joshua Ellul ; Laurent Gomez ; Yenumula Reddy. International Academy, Research, and Industry Association (IARIA), 2011. pp. 255-260

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title = "An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks",

abstract = "Recent advances in wireless communication have made it possible to develop low-cost, and low power Wireless Sensor Networks (WSN). The WSN can be used for several application areas (e.g., habitat monitoring, forest fire detection, and health care). WSN Information Extraction (IE) techniques can be classified into four categories depending on the factors that drive data acquisition: event-driven, time-driven, query-based, and hybrid. This paper presents a survey of the state-of-the-art IE techniques in WSNs. The benefits and shortcomings of different IE approaches are presented as motivation for future work into automatic hybridisation and adaptation of IE mechanisms.",

keywords = "Information extraction, Wireless sensor networks",

author = "Alsbou{\'i}, {Tariq A.A.} and Mohammad Hammoudeh and Zuhair Bandar and Andy Nisbet",

year = "2011",

month = aug,

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language = "English",

isbn = "9781612081441",

pages = "255--260",

editor = "Hovem, {Jens Martin} and Joshua Ellul and Laurent Gomez and Yenumula Reddy",

booktitle = "SENSORCOMM 2011",

publisher = "International Academy, Research, and Industry Association (IARIA)",

note = "5th International Conference on Sensor Technologies and Applications & 1st International Workshop on Sensor Networks for Supply Chain Management, SENSORCOMM 2011& WSNSCM 2011 ; Conference date: 21-08-2011 Through 27-08-2011",

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Alsbouí, TAA, Hammoudeh, M, Bandar, Z & Nisbet, A 2011, An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks. in JM Hovem, J Ellul, L Gomez & Y Reddy (eds), SENSORCOMM 2011: The Fifth International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management. International Academy, Research, and Industry Association (IARIA), pp. 255-260, 5th International Conference on Sensor Technologies and Applications & 1st International Workshop on Sensor Networks for Supply Chain Management, Nice/Saint Laurent du Var, France, 21/08/11. <https://www.thinkmind.org/index.php?view=article&articleid=sensorcomm_2011_10_30_10311>

An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks. / Alsbouí, Tariq A.A.; Hammoudeh, Mohammad; Bandar, Zuhair et al.

SENSORCOMM 2011: The Fifth International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management. ed. / Jens Martin Hovem; Joshua Ellul; Laurent Gomez; Yenumula Reddy. International Academy, Research, and Industry Association (IARIA), 2011. p. 255-260.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Hammoudeh, Mohammad

AU - Bandar, Zuhair

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N1 - Conference code: 5 & 1

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N2 - Recent advances in wireless communication have made it possible to develop low-cost, and low power Wireless Sensor Networks (WSN). The WSN can be used for several application areas (e.g., habitat monitoring, forest fire detection, and health care). WSN Information Extraction (IE) techniques can be classified into four categories depending on the factors that drive data acquisition: event-driven, time-driven, query-based, and hybrid. This paper presents a survey of the state-of-the-art IE techniques in WSNs. The benefits and shortcomings of different IE approaches are presented as motivation for future work into automatic hybridisation and adaptation of IE mechanisms.

AB - Recent advances in wireless communication have made it possible to develop low-cost, and low power Wireless Sensor Networks (WSN). The WSN can be used for several application areas (e.g., habitat monitoring, forest fire detection, and health care). WSN Information Extraction (IE) techniques can be classified into four categories depending on the factors that drive data acquisition: event-driven, time-driven, query-based, and hybrid. This paper presents a survey of the state-of-the-art IE techniques in WSNs. The benefits and shortcomings of different IE approaches are presented as motivation for future work into automatic hybridisation and adaptation of IE mechanisms.

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KW - Wireless sensor networks

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BT - SENSORCOMM 2011

A2 - Hovem, Jens Martin

A2 - Ellul, Joshua

A2 - Gomez, Laurent

A2 - Reddy, Yenumula

PB - International Academy, Research, and Industry Association (IARIA)

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Alsbouí TAA, Hammoudeh M, Bandar Z, Nisbet A. An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks. In Hovem JM, Ellul J, Gomez L, Reddy Y, editors, SENSORCOMM 2011: The Fifth International Conference on Sensor Technologies and Applications and WSNSCM 2011, 1st International Workshop on Sensor Networks for Supply Chain Management. International Academy, Research, and Industry Association (IARIA). 2011. p. 255-260

An Overview and Classification of Approaches to Information Extraction in Wireless Sensor Networks

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