Data management for the Internet of Things: Design primitives and solution

Mervat Abu-Elkheir, Mohammad Hayajneh, Najah Abu Ali

    Research output: Contribution to journalReview articlepeer-review

    135 Citations (Scopus)

    Abstract

    The Internet of Things (IoT) is a networking paradigm where interconnected, smart objects continuously generate data and transmit it over the Internet. Much of the IoT initiatives are geared towards manufacturing low-cost and energy-efficient hardware for these objects, as well as the communication technologies that provide objects interconnectivity. However, the solutions to manage and utilize the massive volume of data produced by these objects are yet to mature. Traditional database management solutions fall short in satisfying the sophisticated application needs of an IoT network that has a truly global-scale. Current solutions for IoT data management address partial aspects of the IoT environment with special focus on sensor networks. In this paper, we survey the data management solutions that are proposed for IoT or subsystems of the IoT. We highlight the distinctive design primitives that we believe should be addressed in an IoT data management solution, and discuss how they are approached by the proposed solutions. We finally propose a data management framework for IoT that takes into consideration the discussed design elements and acts as a seed to a comprehensive IoT data management solution. The framework we propose adapts a federated, data- and sources-centric approach to link the diverse Things with their abundance of data to the potential applications and services that are envisioned for IoT.

    Original languageEnglish
    Pages (from-to)15582-15612
    Number of pages31
    JournalSensors (Switzerland)
    Volume13
    Issue number11
    DOIs
    Publication statusPublished - Nov 14 2013

    Keywords

    • Data management
    • Internet of Things
    • Sensor networks

    ASJC Scopus subject areas

    • Analytical Chemistry
    • Information Systems
    • Atomic and Molecular Physics, and Optics
    • Biochemistry
    • Instrumentation
    • Electrical and Electronic Engineering

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