Abstract
The new internet of things paradigm allows for small devices with sensing, processing and communication capabilities to be designed, which enable the development of sensors, embedded devices and other ‘things’ ready to understand the environment. In this paper, a distributed model and an architecture for internet of things paradigm is proposed to perform complex computational tasks and run advanced applications. This novel computing system defines a network design with different levels which combines sensing and processing capabilities based on the Mobile Cloud Computing paradigm.
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References
Zhu, N., et al.: Bridging e-health and the internet of things: the SPHERE project. IEEE Intell. Syst. 30(4), 39–46 (2015)
Mora-Mora, H., Gilart-Iglesias, V., Gil, D., Sirvent-Llamas, A.: A computational architecture based on RFID sensors for traceability in smart cities. Sensors 15, 13591–13626 (2015)
Qin, G., Wang, L., Li, Q.: Resource symmetric dispatch model for internet of things on advanced logistics. Symmetry 8(4), 20 (2016)
Pérez-Delhoyo, R., et al.: Improving urban accessibility: a methodology for urban dynamics analysis in smart, sustainable and inclusive cities. Int. J. Sust. Dev. Plan. 12(3), 357–367 (2017)
Arslan, M.Y., Singh, I., Singh, S., Madhyastha, H.V., Sundaresan, K., Krishnamurthy, S.V.: CWC: a distributed computing infrastructure using smartphones. IEEE Trans. Mob. Comput. 14(8), 1587–1600 (2015)
Keller, C., Schlegel, T.: Model based and service oriented interaction for ubiquitous environments. In: ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 429–434 (2016)
Narman, H.S., Hossain, M.S., Atiquzzaman, M., et al.: Scheduling internet of things applications in cloud computing. Ann. Telecommun. 72, 79 (2017)
Haferkamp, M., Sliwa, B., Ide, C., Wietfeld, C.: Payload-size and deadline-aware scheduling for time-critical cyber physical systems. In: Wireless Days (2017)
Li, L., Li, S., Zhao, S.: QoS-aware scheduling of services-oriented internet of things. IEEE Trans. Ind. Inf. 10(2), 1497–1505 (2014)
Gil, D., et al.: Internet of things: a review of surveys based on context aware intelligent services. Sensors 16(7), 1069 (2016)
Colom, J.F., et al.: Collaborative building of behavioural models based on internet of things. Comput. Electr. Eng. 58, 385–396 (2016)
Dinh, H.T., Lee, C., Niyato, D., Wang, P.: A survey of mobile cloud computing: architecture, applications, and approaches. Wirel. Commun. Mob. Comput. 3(18), 1587–1611 (2013)
Mora, H., Mendez, D.G., López, J.F.C., Pont, M.T.S.: Flexible frame-work for real-time embedded systems based on mobile cloud computing paradigm. Mob. Inf. Syst. (2015). doi:10.1155/2015/652462
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Mora, H., Signes-Pont, M.T., Gil-Méndez, D., Ferrández-Pastor, F.J. (2017). A Proposal for a Distributed Computational Framework in IoT Context. In: Ochoa, S., Singh, P., Bravo, J. (eds) Ubiquitous Computing and Ambient Intelligence. UCAmI 2017. Lecture Notes in Computer Science(), vol 10586. Springer, Cham. https://doi.org/10.1007/978-3-319-67585-5_20
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DOI: https://doi.org/10.1007/978-3-319-67585-5_20
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