Abstract
Current concept of Next Generation of Internet brings new technologies to the common life of people, such as Internet of Things, Cloud Computing or Big Data. In this new context, smartphones are considered one of the most relevant devices to produce information about the users and their environment. The smartphones are a basic technology for applications for mobility, health, of security. At present, several platforms have been proposed, which consider the development of Future Internet applications, such as the case of FIWARE, RAMI or IDS. However, no generic modules can be found to perform the sensing of data context information from smartphones. In this paper, we present a software library to collect context data from different sensors of smartphones and also, it permits to send that data to the FIWARE Cloud using standard protocols. This new library enables programmers to produce novel applications using the concept of human-as-a-sensor using smartphones.
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References
PPP: F. I. Led by industry, driven by users Addressing the challenge of Internet development in Europe. https://www.fi-ppp.eu/. Accessed 07 Apr 2017
Cisco: Smart + Connected Communities: Changing a City, a Country, the World. http://www.cisco.com/c/dam/en_us/solutions/industries/docs/scc/09CS2326_SCC_BrochureForWest_r3_112409.pdf. Accessed 06 July 2018
Amazon: AWS IoT - Amazon Web Services. https://aws.amazon.com/es/iot/. Accessed 06 July 2018
Macgillivray, C.: The Platform of Platforms in the Internet of Things. https://www.avnet.com/wps/wcm/myconnect/onesite/97cedd40-2ea0-414e-a091-6d844b70a487/IBM-The-Platform-of-Platforms-IoT.pdf?MOD=AJPERES&attachment=true&id=1488926185691. Accessed 06 July 2018
Reference Architectural Model Industrie 4.0 (RAMI 4.0). https://www.plattform-i40.de/I40/Redaktion/EN/Downloads/Publikation/rami40-an-introduction.pdf?__blob=publicationFile&v=7. Accessed 06 July 2018
Industrial Data Space White paper. https://www.fraunhofer.de/content/dam/zv/en/fields-of-research/industrial-data-space/whitepaper-industrial-data-space-eng.pdf. Accessed 06 July 2018
FIWARE: https://www.fiware.org/about-us/. Accessed 06 July 2018
OpenStack Software: What is OpenStack? https://www.openstack.org/software/. Accessed 06 July 2018
AngularJS: https://angularjs.org/. Accessed 06 July 2018
FIWARE-NGSI: http://fiware.github.io/specifications/ngsiv2/stable/. Accessed 06 July 2018
Pratim Ray, P.: A survey of IoT cloud platforms. Future Comput. Inf. J. 1(1–2), 35–46 (2016)
Boswarthick, D., Elloumi, O., Hersent, O.: M2M Communications: A System Approach, p. 727. Wiley, Hoboken (2012)
Saruwatari, S., Kashima, T., Minami, T., Morikawa, H., Aoyama, T.: PAVENET: a hardware and software framework for wireless sensor networks. Trans. Soc. Instrum. Control Eng. 1(1), 74–84 (2005)
Cao, Q., Abdelzaher, T., Stankovic, J., He, T.: The LiteOS operating system: towards unix like abstraction for wireless sensor networks. In: Proceedings of the 7th International Conference on Information Processing in Sensor Networks, St. Louis, MO, USA, p. 233 (2008)
Telefónica. FIWARE. El estándar que necesita el IoT Telefónica. https://iot.telefonica.com/blog/2016/09/es-fiware-estandar-iot. Accessed 06 July 2018
FIWARE-Orion Context Broker. https://fiware-orion.readthedocs.io/en/master/. Accessed 06 July 2018
Acknowledgments
This research work has been partially funded by European Commission and CONACYT, through the SmartSDK project.
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Martinez, A., Estrada, H., Ramírez, F., Gonzalez, M. (2018). A New Software Library for Mobile Sensing Using FIWARE Technologies. In: Batyrshin, I., Martínez-Villaseñor, M., Ponce Espinosa, H. (eds) Advances in Computational Intelligence. MICAI 2018. Lecture Notes in Computer Science(), vol 11289. Springer, Cham. https://doi.org/10.1007/978-3-030-04497-8_21
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DOI: https://doi.org/10.1007/978-3-030-04497-8_21
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