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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
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| URI: | http://purl.tuc.gr/dl/dias/EE8BF963-892E-4607-B7EE-BA28EDBB5BEA | ||
| Year | 2017 | ||
| Type of Item | Conference Full Paper | ||
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| Bibliographic Citation | T. Soultanopoulos, S. Sotiriadis, E.G.M. Petrakis and C. Amza, "Data management of sensor signals for high bandwidth data streaming to the cloud," in 37th IEEE Sarnoff Symposium, 2017, pp. 53-58. doi: 10.1109/SARNOF.2016.7846764 https://doi.org/10.1109/SARNOF.2016.7846764 | ||
| Appears in Collections |
Internet of Things (IoT) and Cloud computing highlight new requirements for data collection, storage and analysis of user data. In this work we focus on the data collection from Bluetooth Low Energy (BLE) devices in order to identify and track data from things in real time, as well as to enhance data analysis by allowing processing in the Cloud. The paper proposes an IoT service architecture and a system implementation for a gateway service running on smart devices (tablets, smartphones) that supports generic access to BLE compliant sensors and allows on-the-fly sensor registration using an easy to use data information schema. The gateway is designed to support the processing (e.g. filtering) of sensor data before they are transferred to the cloud in example of FOG computing (that defines high bandwidth and low latency IoT distributed system). The experimental results demonstrate that the system supports real time communication and fast data collection, as the total time for data transmission (from smart sensors to the cloud) is less than 130 ms.
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