Internet of Things (IoT) Integration for Real-Time Monitoring in Smart Cities
DOI:
https://doi.org/10.35870/ijsecs.v5i1.3465Keywords:
Internet of Things, Smart City, Real-Time Monitoring, SensorAbstract
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.
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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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Copyright (c) 2025 T. Irfan Fajri, Novi Rahayu, Wasiran, Yusuf Unggul Budiman, Novrini Hasti
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