Smart sensor networks: communication, collaboration and business decision making in distributed complex environments

Hecker, M; Karol, A; Stanton, CJ; Williams, M

Smart sensor networks: communication, collaboration and business decision making in distributed complex environments

Hecker, M Karol, A Stanton, CJ Williams, M

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: Proceedings of the International Conference on Mobile Business (ICMB-05), 2005, pp. 1 - 7
Issue Date:: 2005-01

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Field	Value	Language
dc.contributor.author	Hecker, M	en_US
dc.contributor.author	Karol, A	en_US
dc.contributor.author	Stanton, CJ	en_US
dc.contributor.author	Williams, M https://orcid.org/0000-0002-1047-0503	en_US
dc.contributor.editor	Brooks, W	en_US
dc.contributor.editor	Lawrence, E	en_US
dc.contributor.editor	Steele, R	en_US
dc.contributor.editor	Chang, E	en_US
dc.date	2005-07-11	en_US
dc.date.issued	2005-01	en_US
dc.identifier.citation	Proceedings of the International Conference on Mobile Business (ICMB-05), 2005, pp. 1 - 7	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2444
dc.description.abstract	Smart Sensor Networks are one of the most exciting research areas in information technology today; their potential for business applications is vast, but yet to be realised. In this paper we argue that intelligent sensor networks can only reach their potential for business applications if the network is grounded so as to support meaningful information sharing and knowledge generation as the basis for an effective business decision model. Our work is based on the idea that sensors extract information from their environment which, typically, must be fused with other sensor data and network knowledge so that effective business decision making is supported.	en_US
dc.publisher	IEEE	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0209539
dc.relation.ispartof	Proceedings of the International Conference on Mobile Business (ICMB-05)	en_US
dc.relation.ispartof	International Conference on Mobile Business	en_US
dc.rights	© 2005 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Smart sensor networks: communication, collaboration and business decision making in distributed complex environments	en_US
dc.type	Conference Proceeding
utslib.location	Piscataway, USA	en_US
utslib.location.activity	Sydney, Australia	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
dc.location.activity	Sydney, Australia	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 Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Piscataway, USA	en_US
pubs.start-date	2005-07-11	en_US

Abstract:

Smart Sensor Networks are one of the most exciting research areas in information technology today; their potential for business applications is vast, but yet to be realised. In this paper we argue that intelligent sensor networks can only reach their potential for business applications if the network is grounded so as to support meaningful information sharing and knowledge generation as the basis for an effective business decision model. Our work is based on the idea that sensors extract information from their environment which, typically, must be fused with other sensor data and network knowledge so that effective business decision making is supported.

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http://hdl.handle.net/10453/2444