Skip to main content

The OpenIoT Approach to Sensor Mobility with Quality-Driven Data Acquisition Management

Part of the Lecture Notes in Computer Science book series (LNISA,volume 9001)

Abstract

Given the prominence of IoT applications integrating mobile Internet-connected objects (ICOs), e.g., wearable sensors and mobile devices with built-in sensors, novel solutions are required to discover and collect data from mobile sensors producing data streams from varying locations, while taking into account sensor accuracy, energy-efficiency, and potential data redundancy. The OpenIoT platform offers support for mobile sensors by means of its publish/subscribe middleware solution entitled CloUd-based Publish/Subscribe middleware for the IoT (CUPUS). The CUPUS publish/subscribe component is used to collect data from mobile ICOs in a flexible and energy-efficient manner and to provide preprocessed data into the OpenIoT cloud. Moreover, CUPUS in collaboration with a Quality of Service (QoS) Manager component enables mobility management of ICOs and quality-driven data acquisition from mobile sensors to satisfy the global sensing coverage requirements while taking into account data redundancy and ICO battery lifetime.

Keywords

  • Internet of things (IoT)
  • Mobile sensors
  • Publish/subscribe middleware

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • DOI: 10.1007/978-3-319-16546-2_5
  • Chapter length: 16 pages
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
eBook
USD   39.99
Price excludes VAT (USA)
  • ISBN: 978-3-319-16546-2
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD   49.99
Price excludes VAT (USA)
Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.
Fig. 8.

Notes

  1. 1.

    The CUPUS and QoS Sensor Management Function source codes are available at the OpenIoT project’s Github - https://github.com/OpenIotOrg/openiot/.

  2. 2.

    The Military Grid Reference System (MGRS) is the geocoordinate standard used by NATO for locating points on the earth.

References

  1. Chatzimilioudis, G., Konstantinidis, A., Laoudias, C., Zeinalipour-Yazti, D.: Crowdsourcing with smartphones. IEEE Internet Comput. 16(5), 36–44 (2012)

    CrossRef  Google Scholar 

  2. Deshpande, A., Guestrin, C., Madden, S.R., Hellerstein, J.M., Hong, W.: Model-driven data acquisition in sensor networks. In: Proceedings of the Thirtieth International Conference on Very Large Data Bases. VLDB 2004, VLDB Endowment, vol. 30, pp. 588–599 (2004). http://dl.acm.org/citation.cfm?id=1316689.1316741

  3. Ganti, R.K., Ye, F., Lei, H.: Mobile crowdsensing: current state and future challenges. IEEE Commun. Mag. 49(11), 32–39 (2011). http://dx.doi.org/10.1109/ mcom.2011.6069707

    CrossRef  Google Scholar 

  4. Jayaraman, P.P., Perera, C., Georgakopoulos, D., Zaslavsky, A.: Efficient opportunistic sensing using mobile collaborative platform mosden. In: 2013 9th International Conference Conference on Collaborative Computing: Networking, Applications and Worksharing (Collaboratecom), pp. 77–86. IEEE (2013)

    Google Scholar 

  5. Mühl, G., Fiege, L., Pietzuch, P.: Distributed Event-Based Systems. Springer, Heidelberg (2006)

    MATH  Google Scholar 

  6. Nikzad, N., Yang, J., Zappi, P., Rosing, T.S., Krishnaswamy, D.: Model-driven adaptive wireless sensing for environmental healthcare feedback systems. In: ICC, pp. 3439–3444 (2012)

    Google Scholar 

  7. Perera, C., Jayaraman, P.P., Zaslavsky, A., Christen, P., Georgakopoulos, D.: Sensor discovery and configuration framework for the internet of things paradigm (2013). arXiv preprint arXiv:1312.6721

  8. Podnar Zarko, I., Antonic, A., Pripužic, K.: Publish/subscribe middleware for energy-efficient mobile crowdsensing. In: Proceedings of the 2013 ACM Conference on Pervasive and Ubiquitous Computing Adjunct Publication, pp. 1099–1110. UbiComp 2013 Adjunct, ACM, New York, NY, USA (2013). doi:10.1145/2494091.2499577

  9. Pripužić, K., Žarko, I.P., Aberer, K.: Top-k/w publish/subscribe: a publish/subscribe model for continuous top-k processing over data streams. Inf. Syst. 39, 256–276 (2014). http://www.sciencedirect.com/science/article/pii/S0306437912 00049X

    CrossRef  Google Scholar 

  10. Riahi, M., Papaioannou, T.G., Trummer, I., Aberer, K.: Utility-driven data acquisition in participatory sensing. In: Proceedings of the 16th International Conference on Extending Database Technology, pp. 251–262. ACM (2013)

    Google Scholar 

  11. Antonic, A., Rozankovic, K., Marjanovic, M., Pripuzic, K., Zarko, I.P.: A mobile crowdsensing ecosystem enabled by a cloud-based publish/subscribe middleware. In: 2014 International Conference on Future Internet of Things and Cloud, Fi- Cloud 2014, Barcelona, Spain, August 27–29, 2014. pp. 107–114. IEEE (2014). http://dx.doi.org/10.1109/FiCloud.2014.27

Download references

Acknowledgments

This work has been partially carried out in the scope of the project ICT OpenIoT Project FP7-ICT-2011-7-287305 co-funded by the European Commission under FP7 program.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ivana Podnar Žarko .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Žarko, I.P., Antonić, A., Marjanović, M., Pripužić, K., Skorin-Kapov, L. (2015). The OpenIoT Approach to Sensor Mobility with Quality-Driven Data Acquisition Management. In: Podnar Žarko, I., Pripužić, K., Serrano, M. (eds) Interoperability and Open-Source Solutions for the Internet of Things. Lecture Notes in Computer Science(), vol 9001. Springer, Cham. https://doi.org/10.1007/978-3-319-16546-2_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-16546-2_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16545-5

  • Online ISBN: 978-3-319-16546-2

  • eBook Packages: Computer ScienceComputer Science (R0)