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

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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.

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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.

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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.

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

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

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