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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)


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.


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

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  • DOI: 10.1007/978-3-319-16546-2_5
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    The CUPUS and QoS Sensor Management Function source codes are available at the OpenIoT project’s Github -

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


  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).

  3. Ganti, R.K., Ye, F., Lei, H.: Mobile crowdsensing: current state and future challenges. IEEE Commun. Mag. 49(11), 32–39 (2011). 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). 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).

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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.

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Correspondence to Ivana Podnar Žarko .

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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.

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