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 proceedingConference contributionAcademic

5 Citations (Scopus)
63 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 languageUndefined
Title of host publicationProceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing
Place of PublicationLos Alamitos
PublisherIEEE Computer Society
Pages67-72
Number of pages6
ISBN (Print)1-4244-1502-0
DOIs
Publication statusPublished - Dec 2007
Event3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2007 - Melbourne, Australia
Duration: 3 Dec 20076 Dec 2007
Conference number: 3

Publication series

Name
PublisherIEEE Computer Society Press
Number7

Conference

Conference3rd International Conference on Intelligent Sensors, Sensor Networks and Information Processing, ISSNIP 2007
Abbreviated titleISSNIP
CountryAustralia
CityMelbourne
Period3/12/076/12/07

Keywords

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

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
Lombriser, C. ; Marin Perianu, Mihai ; Marin Perianu, Raluca ; Roggen, D. ; Havinga, Paul J.M. ; Tröster, G. / Organizing Context Information Processing in Dynamic Wireless Sensor Networks. Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing. Los Alamitos : IEEE Computer Society, 2007. pp. 67-72
@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 proceedingConference contributionAcademic

TY - GEN

T1 - Organizing Context Information Processing in Dynamic Wireless Sensor Networks

AU - Lombriser, C.

AU - Marin Perianu, Mihai

AU - Marin Perianu, Raluca

AU - Roggen, D.

AU - Havinga, Paul J.M.

AU - Tröster, G.

PY - 2007/12

Y1 - 2007/12

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.

KW - CAES-PS: Pervasive Systems

KW - METIS-245960

KW - IR-64593

KW - EWI-11761

U2 - 10.1109/ISSNIP.2007.4496821

DO - 10.1109/ISSNIP.2007.4496821

M3 - Conference contribution

SN - 1-4244-1502-0

SP - 67

EP - 72

BT - Proceedings of the 2007 International Conference on Intelligent Sensors, Sensor Networks and Information Processing

PB - IEEE Computer Society

CY - Los Alamitos

ER -

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