Organizing Context Information Processing in Dynamic Wireless Sensor Networks

C. Lombriser; Mihai Marin Perianu; Raluca Marin Perianu; D. Roggen; Paul J.M. Havinga; G. Tröster

doi:10.1109/ISSNIP.2007.4496821

Organizing Context Information Processing in Dynamic Wireless Sensor Networks

C. Lombriser, Mihai Marin Perianu, Raluca Marin Perianu, D. Roggen, Paul J.M. Havinga, G. Tröster

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

5 Citations (Scopus)

76 Downloads (Pure)

Abstract

This paper presents the e-SENSE middleware architecture for distributed processing of context information in dynamic wireless sensor networks. At the lower layer, the sensor nodes organize into clusters spontaneously, based on a shared context. These clusters form the basis for the service-oriented processing layer, where the functionality of the sensor network is expressed as service task graphs that support the distributed execution of applications. The higher layer is responsible for complex context inference and recognition. As a concrete example we evaluate the distributed recognition of human activities in a car assembly process.

Original language	Undefined
Title of host publication	Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Place of Publication	Los Alamitos
Publisher	IEEE Computer Society
Pages	67-72
Number of pages	6
ISBN (Print)	1-4244-1502-0
DOIs	https://doi.org/10.1109/ISSNIP.2007.4496821
Publication status	Published - Dec 2007
Event	3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2007 - Melbourne, Australia Duration: 3 Dec 2007 → 6 Dec 2007 Conference number: 3

Publication series

Name
Publisher	IEEE Computer Society Press
Number	7

Conference

Conference	3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2007
Abbreviated title	ISSNIP
Country	Australia
City	Melbourne
Period	3/12/07 → 6/12/07

Keywords

CAES-PS: Pervasive Systems
METIS-245960
IR-64593
EWI-11761

Access to Document

10.1109/ISSNIP.2007.4496821

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open
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Cite this

Lombriser, C., Marin Perianu, M., Marin Perianu, R., Roggen, D., Havinga, P. J. M., & Tröster, G. (2007). Organizing Context Information Processing in Dynamic Wireless Sensor Networks. In Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing (pp. 67-72). [10.1109/ISSNIP.2007.4496821] Los Alamitos: IEEE Computer Society. https://doi.org/10.1109/ISSNIP.2007.4496821

@inproceedings{7b57f78de80243678896b0ec296e6ec5,

title = "Organizing Context Information Processing in Dynamic Wireless Sensor Networks",

abstract = "This paper presents the e-SENSE middleware architecture for distributed processing of context information in dynamic wireless sensor networks. At the lower layer, the sensor nodes organize into clusters spontaneously, based on a shared context. These clusters form the basis for the service-oriented processing layer, where the functionality of the sensor network is expressed as service task graphs that support the distributed execution of applications. The higher layer is responsible for complex context inference and recognition. As a concrete example we evaluate the distributed recognition of human activities in a car assembly process.",

keywords = "CAES-PS: Pervasive Systems, METIS-245960, IR-64593, EWI-11761",

author = "C. Lombriser and {Marin Perianu}, Mihai and {Marin Perianu}, Raluca and D. Roggen and Havinga, {Paul J.M.} and G. Tr{\"o}ster",

year = "2007",

month = "12",

doi = "10.1109/ISSNIP.2007.4496821",

language = "Undefined",

isbn = "1-4244-1502-0",

publisher = "IEEE Computer Society",

number = "7",

pages = "67--72",

booktitle = "Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing",

address = "United States",

}

Lombriser, C, Marin Perianu, M, Marin Perianu, R, Roggen, D, Havinga, PJM & Tröster, G 2007, Organizing Context Information Processing in Dynamic Wireless Sensor Networks. in Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing., 10.1109/ISSNIP.2007.4496821, IEEE Computer Society, Los Alamitos, pp. 67-72, 3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2007, Melbourne, Australia, 3/12/07. https://doi.org/10.1109/ISSNIP.2007.4496821

Organizing Context Information Processing in Dynamic Wireless Sensor Networks. / Lombriser, C.; Marin Perianu, Mihai; Marin Perianu, Raluca; Roggen, D.; Havinga, Paul J.M.; Tröster, G.

Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing. Los Alamitos : IEEE Computer Society, 2007. p. 67-72 10.1109/ISSNIP.2007.4496821.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

TY - GEN

T1 - Organizing Context Information Processing in Dynamic Wireless Sensor Networks

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AU - Havinga, Paul J.M.

AU - Tröster, G.

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N2 - This paper presents the e-SENSE middleware architecture for distributed processing of context information in dynamic wireless sensor networks. At the lower layer, the sensor nodes organize into clusters spontaneously, based on a shared context. These clusters form the basis for the service-oriented processing layer, where the functionality of the sensor network is expressed as service task graphs that support the distributed execution of applications. The higher layer is responsible for complex context inference and recognition. As a concrete example we evaluate the distributed recognition of human activities in a car assembly process.

AB - This paper presents the e-SENSE middleware architecture for distributed processing of context information in dynamic wireless sensor networks. At the lower layer, the sensor nodes organize into clusters spontaneously, based on a shared context. These clusters form the basis for the service-oriented processing layer, where the functionality of the sensor network is expressed as service task graphs that support the distributed execution of applications. The higher layer is responsible for complex context inference and recognition. As a concrete example we evaluate the distributed recognition of human activities in a car assembly process.

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KW - IR-64593

KW - EWI-11761

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Lombriser C, Marin Perianu M, Marin Perianu R, Roggen D, Havinga PJM, Tröster G. Organizing Context Information Processing in Dynamic Wireless Sensor Networks. In Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing. Los Alamitos: IEEE Computer Society. 2007. p. 67-72. 10.1109/ISSNIP.2007.4496821 https://doi.org/10.1109/ISSNIP.2007.4496821