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Discovery of Convoys in Network Proximity Log

  • Conference paper
Internet of Things, Smart Spaces, and Next Generation Networking (ruSMART 2013, NEW2AN 2013)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 8121))

Abstract

This paper describes an algorithm for discovery of convoys in database with proximity log. Traditionally, discovery of convoys covers trajectories databases. This paper presents a model for context-aware browsing application based on the network proximity. Our model uses mobile phone as proximity sensor and proximity data replaces location information. As per our concept, any existing or even especially created wireless network node could be used as presence sensor that can discover access to some dynamic or usergenerated content. Content revelation in this model depends on rules based on the proximity. Discovery of convoys in historical user’s logs provides a new class of rules for delivering local content to mobile subscribers.

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Author information

Authors and Affiliations

  1. Faculty of Computational Mathematics and Cybernetics, Lomonosov Moscow State University, Moscow, Russia

    Dmitry Namiot

  2. M2M Competence Center, ZNIIS, Moscow, Russia

    Manfred Sneps-Sneppe

Authors
  1. Dmitry Namiot
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  2. Manfred Sneps-Sneppe
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Editor information

Editors and Affiliations

  1. FRUCT Oy, Kissankellontie 20B, 00930, Helsinki, Finland

    Sergey Balandin

  2. Department of Electronics and Communications Engineering, Tampere University of Technology, Korkeakoulunkatu 1, 33720, Tampere, Finland

    Sergey Andreev  & Yevgeni Koucheryavy  & 

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Namiot, D., Sneps-Sneppe, M. (2013). Discovery of Convoys in Network Proximity Log. In: Balandin, S., Andreev, S., Koucheryavy, Y. (eds) Internet of Things, Smart Spaces, and Next Generation Networking. ruSMART NEW2AN 2013 2013. Lecture Notes in Computer Science, vol 8121. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40316-3_13

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  • DOI: https://doi.org/10.1007/978-3-642-40316-3_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40315-6

  • Online ISBN: 978-3-642-40316-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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