Artikel in Tagungsband INPROC-2010-63

Bibliograph.
Daten
Weinschrott, Harald; Dürr, Frank; Rothermel, Kurt: StreamShaper: Coordination Algorithms for Participatory Mobile Urban Sensing.
In: Proceedings of the 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS'10).
Universität Stuttgart : Sonderforschungsbereich SFB 627 (Nexus: Umgebungsmodelle für mobile kontextbezogene Systeme).
S. 1-10, englisch.
San Francisco, CA, USA: IEEE, 8. November 2010.
Artikel in Tagungsband (Konferenz-Beitrag).
CR-Klassif.C.2 (Computer-Communication Networks)
Kurzfassung

In this paper we introduce mechanisms for automated mapping of urban areas that provide a virtual sensor abstraction to the applications. We envision a participatory system that exploits widely available devices as mobile phones to cooperatively read environmental conditions as air quality or noise pollution, and map these measurements to stationary virtual sensors. We propose spatial and temporal coverage metrics for measuring the quality of acquired sensor data that reflect the conditions of urban areas and the uncontrolled movement of nodes. To achieve quality requirements and efficiency in terms of energy consumption, this paper presents two algorithms for coordinating sensing. The first is based on a central control instance, which assigns sensing tasks to mobile nodes based on movement predictions. The second algorithm is based on coordination of mobile nodes in an ad-hoc network. By extensive simulations, we show that these algorithms achieve a high quality of readings, which is about 95% of the maximum possible. Moreover, the algorithms achieve a very high energy efficiency allowing for drastic savings compared to uncoordinated sensing.

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Abteilung(en)Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme
Projekt(e)SFB-627, B3 (Universität Stuttgart, Institut für Parallele und Verteilte Systeme, Verteilte Systeme)
ComNSense
Eingabedatum16. Juli 2010
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