ARCHITECTURE CONSIDERATIONS FOR COMMUNITIES OF SMART OBJECTS
Keywords:Internet of Things, Architectures, Smart objects, Edge computing, Fog computing, Mist computing, Mesh network, Microservices, Raspberry Pi
The article presents the origin of the Internet of Things (IoT) and how the concept has evolved over time. Four architectures for IoT implementations are identified and described: central point architecture, decentralized architecture, hybrid architecture, and semi-centralized architecture. Next, the concept of an intelligent object is defined, and its characteristic aspects are described. Finally, an example of implementation is given, and conclusions are drawn.
(1) *** Oracle, https://www.oracle.com/ro/internet-of-things/what-is-iot/, Online, Accessed 23 November 2021.
(2) K. Ashton, That 'Internet of Things' thing in the real world, things matter more than ideas., https://www.rfidjournal.com/articles/view?4986, Online, Accessed 23 November 2021.
(3) J. Birsan, D. Stavarache, M.I. Dascalu, I.B. Pavaloiu, A.M. Neagu Trocmaer, Internet of Things in education: A case study for learning agriculture, Journal eLearning & Software for Education, 2 (2017).
(4) K.K. Patel, S.M. Patel, Internet of Things-IoT: Definition, Characteristics, Architecture, Enabling Technologies, Application & Future Challenges, International Journal of Engineering Science and Computing, 6, 5, p. 6123 (2016).
(5) Y. Zuo, Z. Ling, Y. Yuan, F.M.G. Tomescu, A hybrid multi-path routing algorithm for industrial wireless mesh networks, EURASIP Journal on Wireless Communications and Networking a SpringerOpen Journal (2013).
(6) *** Cambridge Dictionary, https://dictionary.cambridge.org/, Online, Accessed 19 August 2019.
(7) C.G. García, D. Meana-Llorián, B. C. P. G-Bustelo, J. M. C. Lovelle, A review about Smart Objects, Sensors, and Actuators, J. Special Issue on Advances and Applications in the Internet of Things and Cloud Computing, p. 8 (2017).
(8) G. Kortuem, F. Kawsar, V. Sundramoorthy, D. Fitton, Smart objects as building blocks for the internet of things, J. USIR, p. 31 (2009).
(9) S. Stoja, S. Vukmirovic, N. Dalcekovic, D. Capko, B. Jelacic, Accelerating performance in critical topology analysis of distribution management system process by switching from monolithic to microservices, Rev. Roum. Sci. Techn.– Électrotechn. et Énerg., 63, 3, pp. 338–343 (2018).
(10) P. Ray, A survey on Internet of Things architectures, Journal of King Saud University – Computer and Information Sciences (2016).
(11) A. Vasilateanu, I. C. Radu, A. Buga Environment crowd-sensing for asthma management, The 5th IEEE International Conference on E-Health and Bioengineering - EHB 2015, Iasi (2015).
(12) A. Voina, A. Topor, G. Alecu, C. Voina, F. Babarada, D. Manuc, Integrated sensors networks into an acquisition platform for the air quality monitoring, Rev. Roum. Sci. Techn.– Électrotechn. et Énerg., 62, 3, pp. 305–310 (2017).
(13) I.C. Radu, Emergent technologies for learning analytics, The 13th International Scientific Conference eLearning and Software for Education, Bucharest (2017).
(14) M.I. Dascalu, B. Tesila, C.-N. Bodea, C. Mustata, A. Gheorghiu, I. C. Radu, A big data analytics tool for social learning management systems, The 14th International Scientific Conference eLearning and Software for Education, Bucharest (2018)