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Towards Spatial Crowdsourcing in Vehicular Networks Using Mobile Agents

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New Trends in Databases and Information Systems (ADBIS 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 637))

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Abstract

In the last years, the automotive industry has shown interest in the addition of computing and communication devices to cars, thanks to the technological advances in these fields but also to meet the increasing demand of “connected” applications and services. Although vehicular networks have not been fully developed yet, they could be used in a near future as a means to provide a number of interesting applications and services that need the exchange of data among vehicles and other data sources.

For example, we can consider the collection of information within an interesting area in a city using a spatial crowdsourcing schema that takes advantage of the network formed by the vehicles, as well as the interests of the people that travel aboard them. In this paper, we present a preliminary spatial crowdsourcing approach that uses the technology of mobile agents to accomplish the collection and querying of data in such a scenario, supported by realistic simulations that prove that the proposal is promising.

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Notes

  1. 1.

    http://openstreetmaps.org.

  2. 2.

    http://folding.stanford.edu.

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Acknowledgments

The authors acknowledge the support of the CICYT project TIN2013-46238-C4-4-R and DGA-FSE.

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Authors and Affiliations

  1. Department of Computer Science and Systems Engineering, University of Zaragoza, I3A, Zaragoza, Spain

    Oscar Urra & Sergio Ilarri

Authors
  1. Oscar Urra
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  2. Sergio Ilarri
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Corresponding author

Correspondence to Oscar Urra .

Editor information

Editors and Affiliations

  1. Faculty of Sciences, University of Novi Sad Faculty of Sciences, Novi Sad, Serbia

    Mirjana Ivanović

  2. Christian-Albrechts-Universität Kiel, Kiel, Germany

    Bernhard Thalheim

  3. University of Genoa, Genoa, Italy

    Barbara Catania

  4. Software Competence Cent. Hagenberg GmbH, Hagenberg, Austria

    Klaus-Dieter Schewe

  5. Riga Technical University, Riga, Latvia

    Mārīte Kirikova

  6. VSB-Technical University Ostrava, Ostrava, Czech Republic

    Petr Šaloun

  7. Georgia College and State University, Milledgeville, Georgia, USA

    Ajantha Dahanayake

  8. Politecnico di Torino, Torino, Italy

    Tania Cerquitelli

  9. Politecnico di Torino , Torino, Italy

    Elena Baralis

  10. EURECOM, Biot Sophia Antipolis cedex, France

    Pietro Michiardi

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Urra, O., Ilarri, S. (2016). Towards Spatial Crowdsourcing in Vehicular Networks Using Mobile Agents. In: Ivanović, M., et al. New Trends in Databases and Information Systems. ADBIS 2016. Communications in Computer and Information Science, vol 637. Springer, Cham. https://doi.org/10.1007/978-3-319-44066-8_10

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  • DOI: https://doi.org/10.1007/978-3-319-44066-8_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44065-1

  • Online ISBN: 978-3-319-44066-8

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