Gao, Jerry, Lei, Lihui and Yu, Shui 2015, Big data sensing and service: a tutorial, in BigDataService 2015: Proceedings of the 1st IEEE International Conference on Big Data Computing Service and Applications, IEEE, Piscataway, N.J., pp. 79-88, doi: 10.1109/BigDataService.2015.45.
As the advance of the Internet of Things (IoT), more M2M sensors and devices are connected to the Internet. These sensors and devices generate sensor-based big data and bring new business opportunities and demands for creating and developing sensor-oriented big data infrastructures, platforms and analytics service applications. Big data sensing is becoming a new concept and next technology trend based on a connected sensor world because of IoT. It brings a strong impact on many sensor-oriented applications, including smart city, disaster control and monitor, healthcare services, and environment protection and climate change study. This paper is written as a tutorial paper by providing the informative concepts and taxonomy on big data sensing and services. The paper not only discusses the motivation, research scope, and features of big data sensing and services, but also exams the required services in big data sensing based on the state-of-the-art research work. Moreover, the paper discusses big data sensing challenges, issues, and needs.
ISBN
9781479981281
Language
eng
DOI
10.1109/BigDataService.2015.45
Field of Research
080501 Distributed and Grid Systems
Socio Economic Objective
970108 Expanding Knowledge in the Information and Computing Sciences
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