Possible implementations of the cloud-based data-centric IoT pilot platforms for smart cities and agriculture
DOI:
https://doi.org/10.14232/analecta.2018.1.39-44Keywords:
IoT, Smart city, Cloud platformAbstract
The Internet of Things (IoT) is starting to appear everywhere in many shapes and forms. But security is one of the most crucial thing that could trip up the growth of the IoT. Following security principles used in enterprise computing can help clear that issue. Already there are more connected devices than people on the planet, according to leading researchers in this area. By 2020, there will be 50 billion connected devices, outnumbering people by more than 6 to 1. Most of these devices will be controllable over the Internet, and they will increasingly be responsible for collecting and transmitting sensitive data. Today consumers might own an app that collects information on their exercise routine. In a few years, those same people might have an Internet-enabled medical device that continually delivers data to their doctor. In the wrong hands, data from home management systems could be used to assess user’s whereabouts. Likewise, businesses could be vulnerable when they connect things like HVAC, irrigation, or commercial appliances.
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References
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[3] Gyorgy Terdik, Zoltan Gal (2013): Advances and practice in Internet of Things: A case study, Proceedings of IEEE 4th International Conference on Cognitive Infocommunications (CogInfoCom 2013), Budapest, Hungary, December 2-5, 2013, ISBN: 978-1-4799-1544-6, 435-440.
[4] Gyula Mester, Aleksandar Rodic, Sensor-Based Intelligent Mobile Robot Navigation in Unknown Environments, International Journal of Electrical and Computer Engineering Systems, Vol. 1, No. 2, pp. 1-8, ISSN: 1847-6996, 2010.
[5] Habibi, Robet. (2017)"Perencanaan sistem smart academic dengan smart classroom dan teknologi internet of things pada stmik bina patria." jurnal transformasi 13.1.
[6] http://www.ibm.com/bluemix/.
[7] Imre Petkovics, János Simon, Ármin Petkovics, Zlatko Čović, (2017) “Selection of Unmanned Aerial Vehicle for Precision Agriculture with Multi-criteria Decision Making Algorithm”, Proceedings of the Conference SISY 2017, pp. 1-5, Subotica, Serbia.
[8] J. Sárosi (2014): Measurement and Data Acquisition, University of Szeged, Faculty of Engineering, Szeged, ISBN 978-963-306-284-5, 100 p.
[9] János Simon, Monika Trojanova, Jozef Zbihlej, József Sarosi, (2018) “Mass Customization Model in Food Industry Using Industry 4.0 Standard with Fuzzy Based Multi-criteria Decision Making Methodology”, Advances in Mechanical Engineering Vol.10, No.3, 1-18.
[10] János Simon, Zlatko Čović, Dalibor Dobrilović, (2016) “The Web of Things and Database Management Systems”, Analecta Technica Szegedinensia, Vol 10, No 2, 61-68.
[11] Khan, Rafiullah, et al. (2012) "Future internet: the internet of things architecture, possible applications and key challenges." Frontiers of Information Technology (FIT), 2012 10th International Conference on. IEEE.
[12] Khari, Manju, et al. (2016) "Internet of Things: Proposed security aspects for digitizing the world." Computing for Sustainable Global Development (INDIACom), 2016 3rd International Conference on. IEEE.
[13] Mehta, Vishal. (2018) "A Novel Approach to Realize Internet of Intelligent Things." Big Data Analytics. Springer, Singapore, 413-419.
[14] Mohammad Abdullah Al Faruque and Korosh Vatanparvar. (2016) Energy management-as-a-service over fog computing platform. IEEE Int. Things J. 3, 2, 161-169.
[15] Nukala R, et al. (2015) An IoT based approach towards Global Food Safety and Security. In: The 14th IT&T Conference, 10-17.
[16] Nyikes, Z., Rajnai, Z. (2015) “The Big Data and the relationship of the Hungarian National Digital Infrastructure”, International Conference on Applied Internet and Information Technologies, ICAIIT 2015, 6-12.
[17] Odry, Á., J. Fodor, and P. Odry. (2016) "Stabilization of a two-wheeled mobile pendulum system using LQG and fuzzy control techniques." International Journal On Advances in Intelligent Systems 9.1.
[18] Simon János, (2015) “Concepts of the Internet of Things from the Aspect of the Autonomous Mobile Robots”, Interdisciplinary Description of Complex Systems Vol.13 No.1, 34-40.
[19] Simon János, Matijevics István, „Distant Monitoring And Control For Greenhouse Systems Via Internet”, Zbornik radova konferencije Yuinfo 2009, pp. 1-3, Kopaonik, Srbija, 2009.
[20] Simon János, Zlatko Covic, (2015) “Data Management of the Automomous Mobile Devices and Internet of Things”, ANNALS of Faculty Engineering Hunedoara – International Journal of Engineering Vol. XIII, No. 3, 265-268.
[21] Simon János, Zlatko Čović, Igor Fürstner, Laslo Gogolak, Dalibor Dobrilović, (2015) “The Web of Things and Database Services”, Proceedings of the International conference on Applied Internet and Information Technologies AIIT 2015, 235-238.
[22] Simon János, Zlatko Covic, Imre Petkovic, (2017) “Industrie 4.0 Based Customized Mass Production Overview”, Proceedings of the Conference MECHEDU 2017, 1-5.
[23] U. Alvarado, A. Juanicorena, I. Adin, B. Sedano, I. Gutirrez, and J. de Nó. (2012) Energy harvesting technologies for low-power electronics. Trans. Emerg. Telecommun. Technol. 23(8), 728-741.
[24] Xiaorong Z, et al. (2015) The design of the internet of things solution for food supply chain. In: 5th International Conference on Education, Management, Information and Medicine, Shenyang, China, 314-318,
[25] Židek K, et al. (2016) Embedded vision equipment of industrial robot for inline detection of product errors by clustering-classification algorithms. Int. J. Adv. Robot. Syst., 13(5): 1-10.
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Published
2018-11-21
How to Cite
Simon, J. (2018). Possible implementations of the cloud-based data-centric IoT pilot platforms for smart cities and agriculture. Analecta Technica Szegedinensia, 12(1), 39–44. https://doi.org/10.14232/analecta.2018.1.39-44
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