Article in Proceedings INPROC-2009-24

BibliographyWeinschrott, Harald; Dürr, Frank; Rothermel, Kurt: Efficient Capturing of Environmental Data with Mobile RFID Readers.
In: Proceedings of the 10th International Conference on Mobile Data Management (MDM'09); Taipei, Taiwan, Mai 18-20, 2009.
University of Stuttgart : Collaborative Research Center SFB 627 (Nexus: World Models for Mobile Context-Based Systems).
pp. 1-10, english.
Taipei, Taiwan: IEEE Computer Society Conference Publishing Services, May 18, 2009.
Article in Proceedings (Conference Paper).
CR-SchemaC.2 (Computer-Communication Networks)
Keywordsad-hoc; mobile; RFID-sensor; urban sensing
Abstract

In this paper we introduce a novel scenario for environmental sensing based on the combination of simple and cheap RFID-based sensors and mobile devices like mobile phones with integrated RFID readers. We envision a system, where the mobile nodes cooperatively read sensors installed in the environment as they pass by and transmit the data to a server infrastructure. To achieve quality requirements on the one hand, and on the other hand efficiency in terms of communication cost and energy consumption, this paper presents several algorithms for coordinating update operations. Mobile nodes form an ad-hoc network for the cooperative management of requested update times to meet the desired update interval and to avoid redundant sensor reading and collisions during read operations. Besides this decentralized coordination algorithm, we also show a complementary algorithm that exploits infrastructure based coordination. By extensive simulations we show that our algorithms achieve a high quality of sensor updates where nearly 100% of the possible updates are performed. Moreover, the algorithms achieve a very high energy efficiency allowing for several hundred hours of operation assuming a typical battery of a mobile phone.

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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)
ComNSense
Entry dateFebruary 13, 2009