Abstract
This work proposes extensions to Wubby (a device-level software platform for IoT devices, a technology developed by Econais A.E.) to support wireless modules for mobile networks (4 G / LTE-A, and also supporting the forthcoming 5 G). The proposed extension leverages the use of such modules, as it allows easy programming and existing code re-use. It thus adds a compatibility layer across the different modules as it a common set of classes for the wireless modules. The system can be used to support the networking aspects of a variety of IoT applications, including applications for Smart Cities, using a variety of IoT devices. This work suggests such a case focusing on air quality monitoring.
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References
Castillo, A., Thierer, A.D.: Projecting the growth and economic impact of the Internet of Things. Economic perspectives, pp. 1–10 (2015)
Verizon: State of the market: Internet of Things 2016, pp. 1–24 (2016)
Popescu, G.H.: The economic value of the industrial Internet of Things. J. Self-Governance Manag. Econ. 3, 86–91 (2015)
Wang, S., Hou, Y., Gao, F., Ji, X.: A novel IoT access architecture for vehicle monitoring system. In: 3rd IEEE World Forum on Internet of Things, pp. 639–642. IEEE, Reston (2016)
Python. http://www.python.org
Gubbi, J., Buyya, R., Marusic, S., Palaniswami, M.: Internet of Things (IoT): a vision, architectural elements, and future directions. Elsevier Future Gener. Comput. Syst. 29, 1645–1660 (2013)
Tao, F., Cheng, Y., Xu, L.D., Zhang, L., Li, B.H.: CCIoT-CMfg: cloud computing and Internet of Things-based cloud manufacturing service system. IEEE Trans. Industr. Inf. 10, 1435–1442 (2014)
Rao, B.B.P., Saluia, P., Sharma, N., Mittal, A., Sharma, S.V.: Cloud computing for Internet of Things & sensing based applications. In: 6th International Conference on Sensing Technology, pp. 374–380. IEEE, Kolkata (2012)
Wubby documentation. http://www.wubby.io/docs
Cho, H., Kyung, C.-M., Baek, Y.: Energy-efficient and fast collection method for smart sensor monitoring systems. In: International Conference on Advances in Computing, Communications and Informatics, pp. 1440–1445. IEEE, Mysore (2013)
Postolache, O.A., Dias Pereira, J.M., Silva Girao, P.M.B.: Smart sensors network for air quality monitoring applications. IEEE Trans. Instrum. Meas. 58, 3253–3262 (2009)
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Bouras, C., Kapoulas, V., Kokkinos, V., Leonardos, D., Pipilas, C., Papachristos, N. (2018). Extension to Middleware for IoT Devices, with Applications in Smart Cities. In: Longo, A., et al. Cloud Infrastructures, Services, and IoT Systems for Smart Cities. IISSC CN4IoT 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 189. Springer, Cham. https://doi.org/10.1007/978-3-319-67636-4_13
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DOI: https://doi.org/10.1007/978-3-319-67636-4_13
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