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Opportunistic Data Dissemination in Mobile Peer-to-Peer Networks

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Advances in Spatial and Temporal Databases (SSTD 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3633))

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Abstract

In this paper we examine the dissemination of availability reports about resources in mobile peer-to-peer networks, where moving objects communicate with each other via short-range wireless transmission. Each disseminated report represents an observed spatial-temporal event, and the relevance of the report to a moving object decays as the age of the reported resource and the distance from its location increase. We propose an opportunistic approach, in which an object propagates the reports it carries (namely the information that it has about these resources) to encountered objects and obtains new reports in exchange. Least relevant reports are discarded after each exchange so as to limit the communication data volume of future exchanges. Our theoretical and experimental analysis indicates that the opportunistic dissemination algorithm automatically limits the global distribution of a report to a bounded spatial area and to the duration for which it is of interest. We propose two variants of the opportunistic dissemination algorithm and compare them with the traditional client-server architecture in terms of data accuracy. The proposed system has the potential to create a completely new information marketplace.

Research supported by NSF Grants 0326284, 0330342, ITR-0086144, and 0209190.

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Sistla, A.P., Wolfson, O., Xu, B. (2005). Opportunistic Data Dissemination in Mobile Peer-to-Peer Networks. In: Bauzer Medeiros, C., Egenhofer, M.J., Bertino, E. (eds) Advances in Spatial and Temporal Databases. SSTD 2005. Lecture Notes in Computer Science, vol 3633. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11535331_20

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  • DOI: https://doi.org/10.1007/11535331_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28127-6

  • Online ISBN: 978-3-540-31904-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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