Risk-Oriented Geoportal Systems and the Internet of Things as a Tool for Managing Metageosystems
Risk-Oriented Geoportal Systems and the Internet of Things as a Tool for Managing Metageosystems |
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© 2023 by IJETT Journal | ||
Volume-71 Issue-11 |
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Year of Publication : 2023 | ||
Author : Stanislav Yamashkin, Anatoliy Yamashkin, Milan Radovanović, Marko Petrović, Ekaterina Yamashkina |
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DOI : 10.14445/22315381/IJETT-V71I11P217 |
How to Cite?
Stanislav Yamashkin, Anatoliy Yamashkin, Milan Radovanović, Marko Petrović, Ekaterina Yamashkina, "Risk-Oriented Geoportal Systems and the Internet of Things as a Tool for Managing Metageosystems," International Journal of Engineering Trends and Technology, vol. 71, no. 11, pp. 159-170, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I11P217
Abstract
The article describes the research in developing problem-oriented geoportal systems based on the concept of the Internet of Things and allowing them to solve the problems of managing metageosystems. The characteristic of the implementation process of SDI and geoportals for managing metageosystems based on the processes of identification, analysis and monitoring of risks is presented. It is shown that the risk management process can be integrated into the tasks of iterative design, development, implementation and use of SDI. The results of assessing the strength of risk events allow us to approach the solution of the problem of forming a set of controlled risks for the management of metageosystems and become the starting point in solving the problem of designing functional and qualitative requirements. The solution to the problem of effective iterative functional and qualitative enhancement of SDI is possible based on observing the SOLID principles, which determine the expediency of implementing the basic principles of object-oriented programming and design. The article proposes the architecture of a metageosystems management system based on the technology of the Internet of Things and geoportal systems, based on using the LoRaWAN long-range wireless communication standard. The basis of the Internet of Things network is represented by IoT devices consolidated around the head devices (gateways). It was developed based on a modular principle to achieve high rates of modifiability and extensibility. It is proved that in the case of using geoinformation web systems in conjunction with the Internet of Things technology, geoportals begin to play the role of dispatching centers along with their classic function of interactive visualization of spatial data.
Keywords
Geoportal, Internet of Things, Metageosystems, Natural-social-production systems, Spatial data infrastructure.
References
[1] Pooja Malik et al., “Customized IoT Hardware and Artificial Neural Network-Assisted System for Prediction of Solar Radiation and Wind Speed,” SSRG International Journal of Electrical and Electronics Engineering, vol. 10, no. 5, pp. 87-101, 2023.
[CrossRef] [Publisher Link]
[2] Jae-Gil Lee, and Minseo Kang, “Geospatial Big Data: Challenges and Opportunities,” Big Data Research, vol. 2, no. 2, pp. 74-81, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[3] László Miklós et al., Landscape as a Geosystem, Cham, Switzerland: Springer, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Michael F. Goodchild, “Citizens as Voluntary Sensors: Spatial Data Infrastructure in the World of Web 2.0,” International Journal of Spatial Data Infrastructures Research, vol. 2, no. 2, pp. 24-32, 2007.
[Google Scholar] [Publisher Link]
[5] Sachin Kumar, Prayag Tiwari, and Mikhail Zymbler, “Internet of Things is a Revolutionary Approach for Future Technology Enhancement: A Review,” Journal of Big data, vol. 6, no. 1, pp. 1-21, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Amir Faraji et al., “Applicability-Compatibility Analysis of PMBOK Seventh Edition from the Perspective of the Construction Industry Distinctive Peculiarities,” Buildings, vol. 12, no. 2, pp. 1-27, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Aleksi Räsänen et al., “Conceptualizing Community in Disaster Risk,” International Journal of Disaster Risk Reduction, vol. 45, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Samar Alsaqqa, Samer Sawalha, and Heba Abdel-Nabi, “Agile Software Development: Methodologies and Trend,” International Journal of Interactive Mobile Technologies, vol. 14, no. 11, pp. 246–270, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Maurício Aniche, Joseph Yoder, and Fabio Kon, “Current Challenges in Practical Object-Oriented Software Design,” IEEE ACM 41st International Conference on Software Engineering: New Ideas and Emerging Results, pp. 113-116, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Andreas Happe, Bob Duncan, and Alfred Bratterud, “Unikernels for Cloud Architectures: How Single Responsibility can Reduce Complexity, Thus Improving Enterprise Cloud Security,” Proceedings of the 2nd International Conference on Complexity, Future Information Systems and Risk COMPLEXIS, vol. 1, pp. 30-41, 2017.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Hichem Mrabet et al., “A Survey of IoT Security based on a Layered Architecture of Sensing and Data Analysis,” Sensors, vol. 20, no. 13, pp. 1-19, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Işıl Karabey Aksakalli et al., “Deployment and Communication Patterns in Microservice Architectures: A Systematic Literature Review,” Journal of Systems and Software, vol. 180, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Mukarram A.M. Almuhaya et al., “A Survey on Lorawan Technology: Recent Trends, Opportunities, Simulation Tools and Future Directions,” Electronics, vol. 11, no. 1, pp. 1-32, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[14] C. Gkonos, I. Iosifescu Enescu, and L. Hurni, “Spinning the Wheel of Design: Evaluating Geoportal Graphical User Interface Adaptations in Terms of Human-Centred Design,” International Journal of Cartography, vol. 5, no. 1, pp. 23-43, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Matthew J. Heaton et al., “A Case Study Competition Among Methods for Analyzing Large Spatial Data,” Journal of Agricultural, Biological and Environmental Statistics, vol. 24, no. 3, pp. 398–425, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Peter Simon Sapaty, “Symbiosis of Distributed Simulation and Control under Spatial Grasp Technology,” SSRG International Journal of Mobile Computing and Application, vol. 7, no. 2, pp. 1-16, 2020.
[CrossRef] [Google Scholar] [Publisher Link]