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    Internet of Things data management in the cloud for Bluetooth Low Energy (BLE) devices

    Soultanopoulos, T. and Sotiriadis, Stelios and Petrakis, E. and Amza, C. (2016) Internet of Things data management in the cloud for Bluetooth Low Energy (BLE) devices. In: UNSPECIFIED (ed.) ARMS-CC'16 Proceedings of the Third International Workshop on Adaptive Resource Management and Scheduling for Cloud Computing. New York, U.S.: ACM, pp. 35-39. ISBN 9781450342278.

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    Abstract

    The use of wearable sensors and their connectivity to Internet offers significant benefits for storing sensing data that could be utilized intelligently for multiple purpose applications such as for monitoring purposes in healthcare domain. This work presents an Internet of Things (IoT) gateway service taking advantage of modern mobile devices and their capabilities to communicate with wearable Bluetooth low energy (BLE) sensors so data could be forwarded to the cloud on the fly and on real time. The service transforms a mobile platform (such as a smartphone) to a gateway allowing continuous and fast communication of data that is forwarded from the device to the cloud on demand or automatically for an automated decision making. Its features include (a) use of an internal processing mechanism for the BLE sensor signals and defines the way in which data is send to the cloud, (b) dynamic service as it has the ability to recognize new BLE sensors properties by easily adapting the data model according to a dynamic schema and (c) universal BLE devices capability that are registered automatically and are monitored on the fly while it keeps historical data that could be integrated into meaningful business intelligence. Building upon principles of service oriented design, the service takes full advantage of cloud services for processing potential big data streams produced by an ever increasing number of users and sensors. The contribution of this work is on the IoT data transmission rate that is averagely calculated to 128 milliseconds and in the experimental section we discuss that this is significantly low for real time data.

    Metadata

    Item Type: Book Section
    Keyword(s) / Subject(s): Bluetooth Low Energy (BLE), Cloud Computing, Internet of Things, REST services, Sensor data collection service
    School: Birkbeck Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Research Centre: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 02 May 2018 14:53
    Last Modified: 02 May 2018 14:53
    URI: http://eprints.bbk.ac.uk/id/eprint/21807

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