Abstract
A key challenge facing many applications of new geosensor networks technology is to derive meaningful spatial knowledge from low-level sensed data. This paper presents a formal model for representing and computing topological relationship changes between continuously evolving regions monitored by a geosensor network. The definition of “continuity” is used to constrain region evolution and enables the local detection of node state transitions in the network. The model provides a computational framework for the detection of global high-level qualitative relationship changes from local low-level quantitative sensor measurements. In this paper, an efficient decentralized algorithm is also designed and implemented to detect relationship changes and its computational efficiency is evaluated experimentally using simulation.
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Guan, LJ., Duckham, M. (2011). Decentralized Reasoning about Gradual Changes of Topological Relationships between Continuously Evolving Regions. In: Egenhofer, M., Giudice, N., Moratz, R., Worboys, M. (eds) Spatial Information Theory. COSIT 2011. Lecture Notes in Computer Science, vol 6899. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23196-4_8
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DOI: https://doi.org/10.1007/978-3-642-23196-4_8
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