Article in Journal ART-2012-18

BibliographyRothermel, Kurt; Schnitzer, Stephan; Lange, Ralph; Dürr, Frank; Farrell, Tobias: Context-aware and quality-aware algorithms for efficient mobile object management.
In: Pervasive and Mobile Computing. Vol. 8(1).
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
pp. 131-146, english.
Elsevier, February 2012.
DOI: 10.1016/j.pmcj.2011.04.009; ISSN: 1574-1192.
Article in Journal.
CR-SchemaC.2 (Computer-Communication Networks)
H.2.8 (Database Applications)
Keywordscontext-awareness; location management; mobile object tracking; range queries; efficiency
Abstract

The management of positions of mobile objects is an essential prerequisite for many context-aware systems such as advanced traffic management systems or personal assistance systems. In this paper, we present two approaches for the scalable tracking of mobile object trajectories and the efficient processing of continuous spatial range queries, respectively. We show in detail how both approaches utilize the basic concepts of accuracy relaxation and utilization of context information, such as movement predictions, to minimize the number of position updates, the size of trajectory data, and the number of energy-consuming position sensing operations.

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Copyright© 2012 Elsevier B.V.
Department(s)University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems
Project(s)SFB-627, B3 (University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems)
SFB-627, B5 (University of Stuttgart, Institute of Parallel and Distributed Systems, Distributed Systems)
Entry dateJanuary 29, 2013
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