Permanent URL to this publication: http://dx.doi.org/10.5167/uzh-41377
Laube, P; Duckham, M; Worboys, M; Joyce, T (2010). Decentralized spatial computing in urban environments. In: Jiang, B. Geospatial analysis and modelling of urban structure and dynamics. Berlin, 53-74. ISBN 978-90-481-8571-9.
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This chapter presents the concept of decentralized spatial computing (DeSC) as a way to embed dynamic spatial data capture and processing capabilities within our built urban environment. The chapter illustrates the potential of DeSC for safe- guarding privacy in a dynamic location-based services scenario: Mobile service users protect their potentially sensitive location by the use of a decentralized query algorithms, solely collaborating with peers close by and thereby excluding the privacy bottleneck of an omniscient global service provider. In an extensive set of consecutive experiments several decentralized query algorithms were tested, trading the level of privacy for the quality of service. The use of a real world test bed, — a small part of Ordnance Survey’s OS MasterMap® Integrated Transport Network™ Layer for Southampton — underlines the experiments’ validity. The chapter concludes with a research and development agenda for DeSC in the urban context.
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|Item Type:||Book Section, refereed, original work|
|Communities & Collections:||07 Faculty of Science > Institute of Geography|
|Dewey Decimal Classification:||910 Geography & travel|
|Deposited On:||05 Jan 2011 08:57|
|Last Modified:||07 Jun 2015 09:38|
|Series Name:||GeoJournal Library|
|Additional Information:||The original publication is available at www.springerlink.com|
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