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INNS Conference on Big Data

INNS 2016: Advances in Big Data pp 205–215Cite as

A Graph-Based Big Data Model for Wireless Multimedia Sensor Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 529))

Abstract

Wireless multimedia sensor networks are of interest to researchers from different disciplines and many studies have been proposed in a wide variety of application domains, such as military surveillance systems, environmental monitoring, fault monitoring and distributed smart cameras in the last decade. In a wireless sensor network, a large number of sensors can be deployed to monitor target areas and autonomously collect sensor data. This produces a large amount of raw data that needs to be stored, processed, and analyzed.

In this paper, we propose a graph-based big data model for simulating multimedia wireless sensor networks. The big sensor data is stored in a graph database for the purpose of advanced analytics like statistics, data mining, and prediction. A prototype implementation of the proposed model has been developed and a number of experiments have been done for measuring the accuracy and efficiency of our solution. In addition, we present a case study using the military surveillance domain with a number of complex experimental queries by using our prototype. The experimental results show that our proposed multimedia wireless sensor network model is efficient and applicable in large-scale real life applications.

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Acknowledgements

This work is supported in part by a research Grant from TÜBİTAK with Grant No. 114R082. We thank to each of the researchers of CEng Multimedia Database Lab. for their very valuable contributions. The first author would also like to thank AYESAŞ for providing financial support.

Author information

Authors and Affiliations

  1. AYESAŞ, ODTÜ Teknokent, Ankara, Turkey

    Cihan Küçükkeçeci

  2. Department of Computer Engineering, Middle East Technical University, Ankara, Turkey

    Adnan Yazıcı

Authors
  1. Cihan Küçükkeçeci
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  2. Adnan Yazıcı
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Corresponding authors

Correspondence to Cihan Küçükkeçeci or Adnan Yazıcı .

Editor information

Editors and Affiliations

  1. School of Computing and Communications, Lancaster University , Lancaster, United Kingdom

    Plamen Angelov

  2. Data Engineering Lab, Dept. of Informatics, Aristotle University of Thessaloniki , Thessaloniki, Greece

    Yannis Manolopoulos

  3. Lab of Forest Informatics (FiLAB), Democritus University of Thrace , Orestiada, Greece

    Lazaros Iliadis

  4. WPC Information Systems Faculty, Arizona State University , Tempe, Arizona, USA

    Asim Roy

  5. Electrical Engineering Dept, (ICA), Pontifical Catholic Univ of Rio de Janei , Rio de Janeiro, Rio de Janeiro, Brazil

    Marley Vellasco

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Küçükkeçeci, C., Yazıcı, A. (2017). A Graph-Based Big Data Model for Wireless Multimedia Sensor Networks. In: Angelov, P., Manolopoulos, Y., Iliadis, L., Roy, A., Vellasco, M. (eds) Advances in Big Data. INNS 2016. Advances in Intelligent Systems and Computing, vol 529. Springer, Cham. https://doi.org/10.1007/978-3-319-47898-2_22

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  • DOI: https://doi.org/10.1007/978-3-319-47898-2_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47897-5

  • Online ISBN: 978-3-319-47898-2

  • eBook Packages: EngineeringEngineering (R0)

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