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

  • Cihan KüçükkeçeciEmail author
  • Adnan YazıcıEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (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.

Keywords

Sensor Network Sensor Node Wireless Sensor Network Sink Node Level Fusion 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

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.

References

  1. 1.
    Moniruzzaman, A.B., Hossain, S.A.: Nosql database: New era of databases for big data analytics-classification, characteristics and comparison. arXiv preprint arXiv:1307.0191 (2013)
  2. 2.
    Chad, V., Macias, M., Zhao, Z., Nan, X., Chen, Y., Wilkins, D.: A comparison of a graph database, a relational database: a data provenance perspective. In: Proceedings of the 48th Annual Southeast Regional Conference, p. 42. ACM (2010)Google Scholar
  3. 3.
    Chen, M., Man, S., Liu, Y.: Big data: a survey. Mobile Netw. Appl. 19, 171–209 (2014)CrossRefGoogle Scholar
  4. 4.
    Perera, C., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Sensing as a service model for smart cities supported by Internet of Things. Trans. Emerg. Telecommun. Technol. 25(1), 81–93 (2014)CrossRefGoogle Scholar
  5. 5.
    Ho, L-Y., Wu, J.-J., Liu, P.: Distributed graph database for large-scale social computing. In: 2012 IEEE 5th International Conference on Cloud Computing (CLOUD), pp. 455–462. IEEE (2012)Google Scholar
  6. 6.
    Zaslavsky, A., Perera, C., Georgakopoulos, D.: Sensing as a service, big data, arXiv preprint arXiv:1301.0159 (2013)
  7. 7.
    Hadim, S., Nader, M.: Middleware: Middleware challenges and approaches for wireless sensor networks. IEEE Distrib. Syst. Online 3, (2006)Google Scholar
  8. 8.
    Levene, M., Loizou, G.: A graph-based data model, its ramifications. IEEE Trans. Knowl. Data Eng. 7(5), 809–823 (2011)CrossRefGoogle Scholar
  9. 9.
    Angles, R., Gutierrez, C.: Survey of graph database models. ACM Comput. Surv. (CSUR) 40(1), 1–39 (2008)CrossRefGoogle Scholar
  10. 10.
    Li, Y., Wu, C., Guo, L., Lee, C.-H., Guo, Y.: Wiki-health: a big data platform for health. In: Cloud Computing Applications for Quality Health Care Delivery, p. 59 (2014)Google Scholar
  11. 11.
    Manjeshwar, A., Agrawal, D.P.: APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In: International Parallel and Distributed Processing Symposium, vol. 2. IEEE Computer Society (2002)Google Scholar
  12. 12.
    Hu, C., Liu, Y., Chen, L.: Semantic link network based model for organizing multimedia big data. IEEE Trans. Emerg. Topics Comput., 1 (2011)Google Scholar
  13. 13.
    Korpeoglu, B., Yazici, A., Korpeoglu, I., George, R.: A new approach for information processing in wireless sensor network. In: Proceedings of the 22nd International Conference on Data Engineering Workshops, pp. 34–34. IEEE (2006)Google Scholar
  14. 14.
    Zhang, P., Yan, Z., Sun, H.: A novel architecture based on cloud computing for wireless sensor network. In: Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), pp. 472–475 (2013)Google Scholar
  15. 15.
    Jing, H., Haihong, E., Le, G., Du, J.: Survey on NoSQL database. In: 2011 6th International Conference on Pervasive Computing and Applications (ICPCA), pp. 363–366. IEEE (2011)Google Scholar
  16. 16.
    Xu, Z., Liu, Y., Mei, L., Hu, C., Chen, L.: Semantic based representing and organizing surveillance big data using video structural description technology. J. Syst. Softw. 102, 217–225 (2015)CrossRefGoogle Scholar
  17. 17.
    Diallo, O., Rodrigues, J.J., Sene, M.: Real-time data management on wireless sensor networks: a survey. J. Netw. Comput. Appl. 35(3), 1013–1021 (2012)CrossRefGoogle Scholar
  18. 18.
    Jardak, C., Mahonen, P., Riihijärvi, J.: Spatial big data and wireless networks: experiences, applications, and research challenges. IEEE Netw. 28(4), 26–31 (2014)CrossRefGoogle Scholar
  19. 19.
    Simmen, D., Schnaitter, K., Davis, J., He, Y., Lohariwala, S., Mysore, A., Shenoi, V., Tan, M., Xiao, Y.: Large-scale graph analytics in Aster 6: bringing context to big data discovery. Proc. VLDB Endowment 7(13), 1405–1416 (2014)CrossRefGoogle Scholar
  20. 20.
    Stoianov, I., Nachman, L., Madden, S., Tokmouline, T.: PIPENET: a wireless sensor network for pipeline monitoring. In: 2007 6th International Symposium on Information Processing in Sensor Networks, pp. 264–273. IEEE (2007)Google Scholar
  21. 21.
    Felemban, E.: Advanced border intrusion detection and surveillance using wireless sensor network technology. Int. J. Commun. Netw. Syst. Sci. 6(5), 251 (2013)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.AYESAŞAnkaraTurkey
  2. 2.Department of Computer EngineeringMiddle East Technical UniversityAnkaraTurkey

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