Published: 2025-02-10
Internet of Things (IoT) Integration for Real-Time Monitoring in Smart Cities
DOI: 10.35870/ijsecs.v5i1.3465
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Abstract
The advancement of Internet of Things (IoT) technology has opened great opportunities for the implementation of real-time monitoring systems in supporting smart city management. This research aims to develop an IoT integration model that can monitor various urban aspects, such as traffic management, energy consumption, waste management, and air quality, in an efficient and integrated manner. The model is designed to collect, process, and analyze data from various IoT sensors scattered in urban areas, with a focus on delivering information in an integrated manner. urban areas, with a focus on delivering real-time information to the government and the public. The research methodology includes the development of development of an IoT-based system prototype that integrates hardware and hardware and software with the support of cloud computing architecture for data management. data management.
Keywords
Internet of Things ; Smart City ; Real-Time Monitoring ; Sensor
Article Information
This article has been peer-reviewed and published in the International Journal Software Engineering and Computer Science (IJSECS). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 5 No. 1 (2025)
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Section: Articles
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Published: %750 %e, %2025
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License: CC BY 4.0
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Copyright: © 2025 Authors
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DOI: 10.35870/ijsecs.v5i1.3465
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T. Irfan Fajri
Universitas Islam Kebangsaan Indonesia, Bireuen Regency, Aceh Province, Indonesia
Novi Rahayu
STIA Bengkulu, Bengkulu City, Bengkulu Province, Indonesia
Wasiran
Universitas Papua Madani Jayapura, Jayapura City, Papua Province, Indonesia
Yusuf Unggul Budiman
Universitas Bina Sarana Informatika, Bekasi Regency, West Java Province, Indonesia
Novrini Hasti
Universitas Komputer Indonesia, Bandung City, West Java Province, Indonesia
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Zanella, A., Bui, N., Castellani, A., Vangelista, L., & Zorzi, M. (2014). Internet of things for smart cities. IEEE Internet of Things Journal, 1(1), 22–32. https://doi.org/10.1109/JIOT.2014.2306328
-
Yaacoub, E., & Alouini, M. (2021). Efficient fronthaul and backhaul connectivity for IoT traffic in rural areas. IEEE Internet of Things Magazine, 4(1), 60–66. https://doi.org/10.1109/IOTM.0001.1900061
-
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2013). Sensing as a service model for smart cities supported by internet of things. Transactions on Emerging Telecommunications Technologies, 25(1), 81–93. https://doi.org/10.1002/ett.2704
-
Hernández Ramos, S., Villalba, M. T., & Lacuesta, R. (2018). MQTT security: A novel fuzzing approach. Wireless Communications and Mobile Computing, 2018, Article 8261746. https://doi.org/10.1155/2018/8261746
-
Curry, E., Hasan, S., Kouroupetroglou, C., Fabritius, W., Hassan, U., & Derguech, W. (2018). Internet of things enhanced user experience for smart water and energy management. IEEE Internet Computing, 22(1), 18–28. https://doi.org/10.1109/MIC.2018.011581514
-
Lanza, J., Sánchez, L., Gutiérrez, V., Galache, J., Santana, J., Sotres, P., & Muñoz, L. (2016). Smart city services over a future internet platform based on internet of things and cloud: The smart parking case. Energies, 9(9), 719. https://doi.org/10.3390/en9090719
-
Jin, J., Gubbi, J., Marusic, S., & Palaniswami, M. (2014). An information framework for creating a smart city through internet of things. IEEE Internet of Things Journal, 1(2), 112–121. https://doi.org/10.1109/JIOT.2013.2296516
-
Dasallas, L., Lee, J., Jang, S., & Jang, S. (2024). Development and application of technical key performance indicators (KPIs) for smart water cities (SWCs) global standards and certification schemes. Water, 16(5), 741. https://doi.org/10.3390/w16050741
-
Pratama, H. (2024). Penerapan Internet of Things (IoT) untuk Smart City: Konsep dan Implementasi. Circle Archive, 1(6).
-
Prastyo, B., Aziz, F. S., Pribadi, W., & Afandi, A. N. (2020). Desain Banyumas Smart City Berbasis Internet of Things (IoT) Menggunakan Fog Computing Architecture. Jurnal FORTECH, 1(1), 39–44. https://doi.org/10.32492/FORTECH.V1I1.222
-
Suryadi, D., Octiva, C. S., Fajri, T. I., Nuryanto, U. W., & Hakim, M. L. (2024). Optimasi Kinerja Sistem IoT Menggunakan Teknik Edge Computing. Jurnal Minfo Polgan, 13(2), 1456–1461. https://doi.org/10.33395/JMP.V13I2.14102
-
Manalu, M., Rahayu, D., & Rahayu, N. (2024). E-Government Sebagai Basis Program Smart City di Kota Bengkulu. Jurnal STIA Bengkulu: Committe to Administration for Education Quality, 10(1), 85–96. https://doi.org/10.56135/JSB.V10I1.157
-
Kumar, N., & Ali, R. (2024). A smart contract-based 6G-enabled authentication scheme for securing Internet of Nano Medical Things network. Ad Hoc Networks, 163, 103606. https://doi.org/10.1016/j.adhoc.2024.103606
-
Vadruccio, R., Salvadori, G., & Tumino, A. (2024). Smart metering and Internet of Things for efficient water management. Procedia Computer Science, 239, 1498–1505. https://doi.org/10.1016/j.procs.2024.06.324
-
Park, J., Baek, J., & Song, Y. (2024). Optimizing smart city planning: A deep reinforcement learning framework. ICT Express. Advance online publication. https://doi.org/10.1016/j.icte.2024.11.005
-
Aljarrah, E. (2024). AI-based model for prediction of power consumption in smart grid-smart way towards smart city using blockchain technology. Intelligent Systems with Applications, 200440. https://doi.org/10.1016/j.iswa.2024.200440
-
Mothanna, Y., ElMedany, W., Hammad, M., Ksantini, R., & Sharif, M. S. (2024). Adopting security practices in software development process: Security testing framework for sustainable smart cities. Computers & Security, 144, 103985. https://doi.org/10.1016/j.cose.2024.103985
-
Khan, S., Khan, S., Sulaiman, A., Al Reshan, M. S., Alshahrani, H., & Shaikh, A. (2024). Deep neural network and trust management approach to secure smart transportation data in sustainable smart cities. ICT Express, 10(5), 1059–1065. https://doi.org/10.1016/j.icte.2024.08.006
-
AlJamal, M., Mughaid, A., Bani-Salameh, H., Alzubi, S., & Abualigah, L. (2024). Optimizing risk mitigation: A simulation-based model for detecting fake IoT clients in smart city environments. Sustainable Computing: Informatics and Systems, 43, 101019. https://doi.org/10.1016/j.suscom.2024.101019
-
El Ghati, O., Alaoui-Fdili, O., Chahbouni, O., Alioua, N., & Bouarifi, W. (2024). Artificial intelligence-powered visual Internet of Things in smart cities: A comprehensive review. Sustainable Computing: Informatics and Systems, 101004. https://doi.org/10.1016/j.suscom.2024.101004
-
Aminiyeganeh, K., Coutinho, R. W., & Boukerche, A. (2024). IoT video analytics for surveillance-based systems in smart cities. Computer Communications, 95–105. https://doi.org/10.1016/j.comcom.2024.05.021
-
Ulya, A., Susanto, T. D., Dharmawan, Y. S., & Subriadi, A. P. (2024). Major dimensions of smart city: A systematic literature review. Procedia Computer Science, 234, 996–1003. https://doi.org/10.1016/j.procs.2024.03.089.
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