Sensor actor network modeling utilizing the holonic architectural framework

Chiu, C; Chaczko, Z; Moses, P

Sensor actor network modeling utilizing the holonic architectural framework

Chiu, C

Chaczko, Z

Moses, P

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Publication Type:: Journal Article
Citation:: International Journal of Electronics and Telecommunications, 2010, 56 (1), pp. 49 - 54
Issue Date:: 2010-03-01

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Field	Value	Language
dc.contributor.author	Chiu, C https://orcid.org/0000-0003-2045-5961	en_US
dc.contributor.author	Chaczko, Z https://orcid.org/0000-0002-2816-7510	en_US
dc.contributor.author	Moses, P	en_US
dc.date.issued	2010-03-01	en_US
dc.identifier.citation	International Journal of Electronics and Telecommunications, 2010, 56 (1), pp. 49 - 54	en_US
dc.identifier.issn	2081-8491	en_US
dc.identifier.uri	http://hdl.handle.net/10453/13500
dc.description.abstract	This paper discusses the results of utilizing advanced EKM modeling techniques to manage Sensor-Actor networks (SANETs) based upon the Holonic Architectural Framework. EKMs allow a quantitative analysis of an algorithmic artificial neural network process by using an indirect-mapping EKM to self-organize from a given input space to administer SANET routing and clustering functions with a control parameter space. Results demonstrate that in comparison to linear approximation techniques, indirect mapping with EKMs provide fluid control and feedback mechanisms by operating in a continuous sensory control space-thus enabling interactive detection and optimization of events in real-time environments.	en_US
dc.relation.ispartof	International Journal of Electronics and Telecommunications	en_US
dc.relation.isbasedon	10.2478/v10177-010-0006-3	en_US
dc.title	Sensor actor network modeling utilizing the holonic architectural framework	en_US
dc.type	Journal Article
utslib.citation.volume	1	en_US
utslib.citation.volume	56	en_US
utslib.for	1005 Communications Technologies	en_US
utslib.for	080110 Simulation and Modelling	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building
pubs.organisational-group	/University of Technology Sydney/Faculty of Design, Architecture and Building/School of Architecture
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	open_access
pubs.issue	1	en_US
pubs.publication-status	Published	en_US
pubs.volume	56	en_US

Abstract:

This paper discusses the results of utilizing advanced EKM modeling techniques to manage Sensor-Actor networks (SANETs) based upon the Holonic Architectural Framework. EKMs allow a quantitative analysis of an algorithmic artificial neural network process by using an indirect-mapping EKM to self-organize from a given input space to administer SANET routing and clustering functions with a control parameter space. Results demonstrate that in comparison to linear approximation techniques, indirect mapping with EKMs provide fluid control and feedback mechanisms by operating in a continuous sensory control space-thus enabling interactive detection and optimization of events in real-time environments.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/13500