Internet of Things for Urban Infrastructure: Applications, Challenges, and Future Directions – A Review

Authors

  • Alif Noorachmad Muttaqin Telkom University
  • Alaric Rasendriya Aniko Telkom University
  • Muhamad Ivan Fadilah Telkom University
  • Fauzi Hizbullah Telkom University
  • Sahidan Abdulmana Fatoni University

DOI:

https://doi.org/10.62123/aqila.v2i2.102

Keywords:

Internet of Things, Smart City, Urban Infrastructure, Edge Computing, Sustainability

Abstract

The Internet of Things (IoT) has emerged as a transformative technology in the development of urban infrastructure, enabling real-time data collection, intelligent decision-making, and integrated service delivery. This study explores the implementation of IoT in various urban domains, including transportation management, environmental monitoring, smart parking, structural health surveillance, and smart city integration. The findings highlight significant improvements in operational efficiency, system resilience, and environmental sustainability. However, large-scale adoption still encounters challenges such as cybersecurity risks, interoperability issues, device reliability, and maintenance demands, along with socio-economic barriers including high implementation costs, limited technical expertise, and complex regulatory frameworks. To address these challenges, the study recommends adopting advanced technologies such as edge computing, artificial intelligence, and blockchain, establishing global interoperability standards, and fostering cross-sector collaborations. Furthermore, innovative financing models and inclusive public policies are essential to ensure secure, efficient, and sustainable IoT deployment. The research contributes to a deeper understanding of the role of IoT in shaping future smart cities, providing a framework for policymakers, urban planners, and technology developers.

References

[1] K. Leng and C.-F. Wu, “Traffic Management Optimization via IoT-Enhanced Cooperative Vehicle-Infrastructure Systems,” IEEE Internet Things J, vol. 12, no. 4, pp. 3493–3501, Feb. 2025, doi: 10.1109/JIOT.2024.3419440.

[2] B. V. Jagdish, I. A, M. N. Vikas, A. M, and C. Naik, “Decentralised IoT Authentication using Blockchain and Machine Learning: The Trust Circle Framework,” in 2025 International Conference on Inventive Computation Technologies (ICICT), IEEE, Apr. 2025, pp. 1765–1770. doi: 10.1109/ICICT64420.2025.11005150.

[3] N. E. H. Boubaker, K. Zarour, N. Guermouche, and D. Benmerzoug, “A Comprehensive Survey on Resource Management for IoT Applications in Edge-Fog-Cloud Environments,” IEEE Access, vol. 13, pp. 111892–111925, 2025, doi: 10.1109/ACCESS.2025.3583584.

[4] S. Majumder, A. K. Roy, T. Mondal, and M. J. Deen, “Flexible Sensors for IoT-Based Health Monitoring,” IEEE Journal on Flexible Electronics, vol. 4, no. 2, pp. 63–88, Feb. 2025, doi: 10.1109/JFLEX.2025.3538808.

[5] N. V. Golovastikov, N. L. Kazanskiy, and S. N. Khonina, “Optical Fiber-Based Structural Health Monitoring: Advancements, Applications, and Integration with Artificial Intelligence for Civil and Urban Infrastructure,” Photonics, vol. 12, no. 6, p. 615, Jun. 2025, doi: 10.3390/photonics12060615.

[6] J. W. Kasubi, M. D.H, and G. D. Demewez, “A review on the Internet of Things and Big Data Analytics Based on Smart Cities,” in 2021 International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, Mar. 2021, pp. 1352–1358. doi: 10.1109/ICAIS50930.2021.9395958.

[7] D. Sharma, P. Kushwaha, Shorya, A. Verma, and A. Chaudhary, “Harnessing IoT and Machine Learning for Efficient Water Management in Urban Infrastructure,” in 2025 International Conference on Pervasive Computational Technologies (ICPCT), IEEE, Feb. 2025, pp. 70–74. doi: 10.1109/ICPCT64145.2025.10940600.

[8] P. Saikia, B. Sahu, G. Prasad, S. Kumar, S. Suman, and K. Kumar, “Smart Infrastructure Systems: A Review of IoT-Enabled Monitoring and Automation in Civil and Agricultural Engineering,” Asian Journal of Research in Computer Science, vol. 18, no. 4, pp. 24–44, Mar. 2025, doi: 10.9734/ajrcos/2025/v18i4606.

[9] M. Joshika, R. Ashwin, S. H. Varshini, A. K. Jubair Ahamed, and B. Sakthikumar, “Smart Water Management System For Rural And Urban Infrastructure Using Iot,” in 2025 3rd International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), IEEE, Apr. 2025, pp. 1–6. doi: 10.1109/ICAECA63854.2025.11012582.

[10] Ayush, P. Singh, P. Jain, V. Saini, K. Kumari, and P. Kumar Bajaj, “Enhancing Smart City Infrastructure Through IoT-Enabled Predictive Maintenance and Real-Time Data Analytics,” in 2024 International Conference on Progressive Innovations in Intelligent Systems and Data Science (ICPIDS), IEEE, Dec. 2024, pp. 129–137. doi: 10.1109/ICPIDS65698.2024.00029.

[11] M. Chauhan and D. R. Sahoo, “Towards a Greener Tomorrow: Exploring the Potential of AI, Blockchain, and IoT in Sustainable Development,” Nature Environment and Pollution Technology, vol. 23, no. 2, pp. 1105–1113, Jun. 2024, doi: 10.46488/NEPT.2024.v23i02.044.

[12] T. Magara and Y. Zhou, “Internet of Things (IoT) of Smart Homes: Privacy and Security,” Journal of Electrical and Computer Engineering, vol. 2024, pp. 1–17, Apr. 2024, doi: 10.1155/2024/7716956.

[13] A. M. Yusof, N. Hussin, K. A. Azman, N. Amran, S. C. Daud, and N. R. Tarmuchi, “The Internet of Things (IOT): Impacts on Information Management Field,” International Journal of Academic Research in Business and Social Sciences, vol. 10, no. 11, Dec. 2020, doi: 10.6007/IJARBSS/v10-i11/8197.

[14] Y. Bin Zikria, R. Ali, M. K. Afzal, and S. W. Kim, “Next-Generation Internet of Things (IoT): Opportunities, Challenges, and Solutions,” Sensors, vol. 21, no. 4, p. 1174, Feb. 2021, doi: 10.3390/s21041174.

[15] Y. A. Alsahib S.aldeen and K. N. Qureshi, “New Trends in Internet of Things, Applications, Challenges, and Solutions,” TELKOMNIKA (Telecommunication Computing Electronics and Control), vol. 16, no. 3, p. 1114, Jun. 2018, doi: 10.12928/telkomnika.v16i3.8483.

[16] J. Bzai et al., “Machine Learning-Enabled Internet of Things (IoT): Data, Applications, and Industry Perspective,” Electronics (Basel), vol. 11, no. 17, p. 2676, Aug. 2022, doi: 10.3390/electronics11172676.

[17] L. H. Fang and D. Yonggui, “Definition, Challenges and Future Research for Internet of Things,” Journal of Computing and Natural Science, pp. 216–226, Oct. 2023, doi: 10.53759/181X/JCNS202303020.

[18] F. Campagnaro et al., “Monitoring the Venice Lagoon: An IoT Cloud-Based Sensor Network Approach,” IEEE Journal of Oceanic Engineering, vol. 50, no. 2, pp. 570–582, Apr. 2025, doi: 10.1109/JOE.2024.3459483.

[19] C.-M. Rosca and A. Stancu, “Integration of AI in Self-Powered IoT Sensor Systems,” Applied Sciences, vol. 15, no. 13, p. 7008, Jun. 2025, doi: 10.3390/app15137008.

[20] F. Amin, R. Abbasi, A. Mateen, M. Ali Abid, and S. Khan, “A Step toward Next-Generation Advancements in the Internet of Things Technologies,” Sensors, vol. 22, no. 20, p. 8072, Oct. 2022, doi: 10.3390/s22208072.

[21] V. S. Milankumar Rana, “Quantum-Edge Synergy: A Novel Framework for Real-Time IoT Analytics Beyond Cloud and Edge Computing,” Journal of Information Systems Engineering and Management, vol. 10, no. 37s, pp. 925–935, Mar. 2025, doi: 10.52783/jisem.v10i37s.6746.

[22] B. Et-Taibi, M. R. Abid, E.-M. Boufounas, and D. Benhaddou, “Cloud and Edge based Smart Agriculture: A Real-World Deployment,” in 2024 International Conference on Circuit, Systems and Communication (ICCSC), IEEE, Jun. 2024, pp. 1–6. doi: 10.1109/ICCSC62074.2024.10617136.

[23] R. Krishnamurthi, A. Kumar, D. Gopinathan, A. Nayyar, and B. Qureshi, “An Overview of IoT Sensor Data Processing, Fusion, and Analysis Techniques,” Sensors, vol. 20, no. 21, p. 6076, Oct. 2020, doi: 10.3390/s20216076.

[24] M. Ashfaq and S. Nur, “IoT Sensor Networks- Orchestrating Connectivity, Efficiency, and Intelligence Across Diverse Domains,” International Journal of Innovative Research in Computer Science and Technology, vol. 12, no. 3, pp. 154–161, May 2024, doi: 10.55524/ijircst.2024.12.3.26.

[25] D. Rocha, G. Teixeira, E. Vieira, J. Almeida, and J. Ferreira, “A Modular In-Vehicle C-ITS Architecture for Sensor Data Collection, Vehicular Communications and Cloud Connectivity,” Sensors, vol. 23, no. 3, p. 1724, Feb. 2023, doi: 10.3390/s23031724.

[26] I. Ficili, M. Giacobbe, G. Tricomi, and A. Puliafito, “From Sensors to Data Intelligence: Leveraging IoT, Cloud, and Edge Computing with AI,” Sensors, vol. 25, no. 6, p. 1763, Mar. 2025, doi: 10.3390/s25061763.

[27] M. Babar, M. A. Jan, X. He, M. U. Tariq, S. Mastorakis, and R. Alturki, “An Optimized IoT-Enabled Big Data Analytics Architecture for Edge–Cloud Computing,” IEEE Internet Things J, vol. 10, no. 5, pp. 3995–4005, Mar. 2023, doi: 10.1109/JIOT.2022.3157552.

[28] S. Liu and G. C. Polyzos, “SovereignEdge: A Context-Aware Cryptographic Architecture for Data Sovereignty in Mobile Edge–Fog–Cloud IoT Data Spaces,” in 2025 8th World Conference on Computing and Communication Technologies (WCCCT), IEEE, Apr. 2025, pp. 166–175. doi: 10.1109/WCCCT65447.2025.11027965.

[29] R. Dogea, X. T. Yan, and R. Millar, “Implementation of an edge-fog-cloud computing IoT architecture in aircraft components,” MRS Commun, vol. 13, no. 3, pp. 416–424, May 2023, doi: 10.1557/s43579-023-00364-z.

[30] K. Yelamarthi, M. S. Aman, and A. Abdelgawad, “An Application-Driven Modular IoT Architecture,” Wirel Commun Mob Comput, vol. 2017, pp. 1–16, 2017, doi: 10.1155/2017/1350929.

[31] M. Visuwasam L, A. Balakrishna, N. S R, and K. V, “Level-6 Automated IoT integrated with Artificial Intelligence Based Big Data-Driven Dynamic Vehicular Traffic Control System,” EAI Endorsed Transactions on Energy Web, p. 164176, Jul. 2018, doi: 10.4108/eai.13-7-2018.164176.

[32] G. Chandrasekaran, P. S, R. N, H. A, D. K. N, and A. S, “Iot-Based Traffic Control for Emergency Services in Smart Transportation System,” in 2025 International Conference on Inventive Computation Technologies (ICICT), IEEE, Apr. 2025, pp. 1844–1850. doi: 10.1109/ICICT64420.2025.11005044.

[33] A. C. S. Sheela, B. S. Ahamed, D. Poornima, and C. S. A. C, “Integration of Wireless Sensor Networks with IoT in Smart Transportation Systems and Traffic Management,” in 2023 International Conference on Emerging Research in Computational Science (ICERCS), IEEE, Dec. 2023, pp. 1–6. doi: 10.1109/ICERCS57948.2023.10433998.

[34] A. P. Naveen, M. C. Monisha, T. Shanmugapriyan, and B. G. Geetha, “Smart Transportation Revolution: Adaptive Monitoring with Squeeze and Excitation Networks,” in 2025 International Conference on Advanced Computing Technologies (ICoACT), IEEE, Mar. 2025, pp. 1–6. doi: 10.1109/ICoACT63339.2025.11005183.

[35] O. Igorevich Rozhdestvenskiy and E. Poornima, “Enabling Sustainable Urban Transportation with Predictive Analytics and IoT,” MATEC Web of Conferences, vol. 392, p. 01179, Mar. 2024, doi: 10.1051/matecconf/202439201179.

[36] R. G, A. A. Lakshmi, R. B. Revathi, SK. A. Babu, R. G. Bodkhe, and H. J. Aljawawdeh, “A Smart RFID Based Automatic Toll Booth Management System Using Artificial Intelligence (AI) and Internet of Things Technologies,” in 2024 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES), IEEE, Dec. 2024, pp. 1–6. doi: 10.1109/ICSES63760.2024.10910827.

[37] N. Sutisna et al., “FlexPay: Towards Cloud Based Automatic Number Plate Recognition System,” in 2024 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS), IEEE, Dec. 2024, pp. 1–5. doi: 10.1109/ISPACS62486.2024.10868117.

[38] S. Seid, M. Zennaro, M. Libsie, E. Pietrosemoli, and P. Manzoni, “A Low Cost Edge Computing and LoRaWAN Real Time Video Analytics for Road Traffic Monitoring,” in 2020 16th International Conference on Mobility, Sensing and Networking (MSN), IEEE, Dec. 2020, pp. 762–767. doi: 10.1109/MSN50589.2020.00130.

[39] N. Chen and Y. Chen, “Anomalous Vehicle Recognition in Smart Urban Traffic Monitoring as an Edge Service,” Future Internet, vol. 14, no. 2, p. 54, Feb. 2022, doi: 10.3390/fi14020054.

[40] G. P. Panem, M. A. Begum, R. Maranan, A. Gaur, A. S. Yadav, and A. Dubey, “Next-Gen Smart Vehicle Number Plate Recognition with Dynamic Character Encoding for Lightning-Fast and Accurate Detection,” in 2024 4th International Conference on Ubiquitous Computing and Intelligent Information Systems (ICUIS), IEEE, Dec. 2024, pp. 1292–1297. doi: 10.1109/ICUIS64676.2024.10866057.

[41] S. K. G. K, K. P. K, B. Muniyal, and M. Rajarajan, “Explainable Federated Framework for Enhanced Security and Privacy in Connected Vehicles Against Advanced Persistent Threats,” IEEE Open Journal of Vehicular Technology, vol. 6, pp. 1438–1463, 2025, doi: 10.1109/OJVT.2025.3576366.

[42] Olukunle Oladipupo Amoo, Femi Osasona, Akoh Atadoga, Benjamin Samson Ayinla, Oluwatoyin Ajoke Farayola, and Temitayo Oluwaseun Abrahams, “Cybersecurity threats in the age of IoT: A review of protective measures,” International Journal of Science and Research Archive, vol. 11, no. 1, pp. 1304–1310, Feb. 2024, doi: 10.30574/ijsra.2024.11.1.0217.

[43] H. Altaleb and R. Zoltán, “Addressing Cybersecurity Challenges in 5G-enabled IoT and Critical Infrastructures: A Comprehensive Overview,” in 2023 IEEE 27th International Conference on Intelligent Engineering Systems (INES), IEEE, Jul. 2023, pp. 000131–000136. doi: 10.1109/INES59282.2023.10297774.

[44] C. Wheelus and X. Zhu, “IoT Network Security: Threats, Risks, and a Data-Driven Defense Framework,” IoT, vol. 1, no. 2, pp. 259–285, Oct. 2020, doi: 10.3390/iot1020016.

[45] S. Bharati and P. Podder, “Machine and Deep Learning for IoT Security and Privacy: Applications, Challenges, and Future Directions,” Security and Communication Networks, vol. 2022, pp. 1–41, Aug. 2022, doi: 10.1155/2022/8951961.

[46] M. Dündar, “The Integration of IoT, AI, and Machine Learning in Urban Systems,” Next Frontier For Life Sciences and AI, vol. 8, no. 1, p. 185, Nov. 2024, doi: 10.62802/860ded41.

[47] Dr. G. Tamrakar, Dr. R. Sharma, and S. Rohilla, “Smart IoT-Based Air Quality Monitoring and Alert System for Urban Environments,” Int J Environ Sci, pp. 628–633, Apr. 2025, doi: 10.64252/hdrg5v49.

[48] K. Chatterjee et al., “Ecosense: a revolution in urban air quality forecasting for smart cities,” BMC Res Notes, vol. 18, no. 1, p. 62, Feb. 2025, doi: 10.1186/s13104-025-07099-1.

[49] H. M. Forhad et al., “IoT based real-time water quality monitoring system in water treatment plants (WTPs),” Heliyon, vol. 10, no. 23, p. e40746, Dec. 2024, doi: 10.1016/j.heliyon.2024.e40746.

[50] J. M. Taamté et al., “Real-time air quality monitoring based on locally developed unmanned aerial vehicle and low-cost smart electronic device,” Journal of Instrumentation, vol. 19, no. 05, p. P05036, May 2024, doi: 10.1088/1748-0221/19/05/P05036.

[51] M. Flores-Iwasaki, G. A. Guadalupe, M. Pachas-Caycho, S. Chapa-Gonza, R. C. Mori-Zabarburú, and J. C. Guerrero-Abad, “Internet of Things (IoT) Sensors for Water Quality Monitoring in Aquaculture Systems: A Systematic Review and Bibliometric Analysis,” AgriEngineering, vol. 7, no. 3, p. 78, Mar. 2025, doi: 10.3390/agriengineering7030078.

[52] Y. Singh and T. Walingo, “Smart Water Quality Monitoring with IoT Wireless Sensor Networks,” Sensors, vol. 24, no. 9, p. 2871, Apr. 2024, doi: 10.3390/s24092871.

[53] A. Dharshan, P. Kumar, S. Ravimaran, and U. Srinivasulu Reddy, “LSTM based Soft-Sensor for Estimating Nitrate Concentration in Aquaponics pond,” in 2024 3rd International Conference for Innovation in Technology (INOCON), IEEE, Mar. 2024, pp. 1–8. doi: 10.1109/INOCON60754.2024.10511936.

[54] H. Wang, Y. Liu, C. Zhao, J. He, W. Ding, and X. Chen, “CaliFormer: Leveraging Unlabeled Measurements to Calibrate Sensors with Self-supervised Learning,” in Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing, New York, NY, USA: ACM, Oct. 2023, pp. 743–748. doi: 10.1145/3594739.3612917.

[55] T. Blinova, S. Singh Chauhan, T. Singla, S. Bansal, A. Mittal, and V. S. Yellanki, “Performance Evaluation of IoT Sensors in Urban Air Quality Monitoring: Insights from the IoT Sensor Performance Test,” BIO Web Conf, vol. 86, p. 01088, Jan. 2024, doi: 10.1051/bioconf/20248601088.

[56] A. Sinha and D. Das, “SNRepair: Systematically Addressing Sensor Faults and Self-Calibration in IoT Networks,” IEEE Sens J, vol. 23, no. 13, pp. 14915–14922, Jul. 2023, doi: 10.1109/JSEN.2023.3277493.

[57] M. Taştan, “Machine Learning–Based Calibration and Performance Evaluation of Low-Cost Internet of Things Air Quality Sensors,” Sensors, vol. 25, no. 10, p. 3183, May 2025, doi: 10.3390/s25103183.

[58] S. Ali, F. Alam, K. M. Arif, and J. Potgieter, “Low-Cost CO Sensor Calibration Using One Dimensional Convolutional Neural Network,” Sensors, vol. 23, no. 2, p. 854, Jan. 2023, doi: 10.3390/s23020854.

[59] S. De Vito et al., “A Global Multiunit Calibration as a Method for Large-Scale IoT Particulate Matter Monitoring Systems Deployments,” IEEE Trans Instrum Meas, vol. 73, pp. 1–16, 2024, doi: 10.1109/TIM.2023.3331428.

[60] N. V. S. R. Nalakurthi et al., “Challenges and Opportunities in Calibrating Low-Cost Environmental Sensors,” Sensors, vol. 24, no. 11, p. 3650, Jun. 2024, doi: 10.3390/s24113650.

[61] A. M. S. V Sushma, A. Aswini Priyanka, A. N. G. Lakshmi, N. Khatri, and H. Sharma, “Integrated IoT-Based Smart Home Security System: Real-Time Hazard Detection and Alerts Using Multi-Sensor Fusion,” in 2024 International Conference on Intelligent & Innovative Practices in Engineering & Management (IIPEM), IEEE, Nov. 2024, pp. 1–6. doi: 10.1109/IIPEM62726.2024.10925672.

[62] A. Krishna, B. Yadav, D. Prakash, and R. K. Dwivedi, “Designing A Fall Detection System for Elderly People in Smart Healthcare IoT Using Multi Sensor Data Fusion,” in 2024 International Conference on Artificial Intelligence and Quantum Computation-Based Sensor Application (ICAIQSA), IEEE, Dec. 2024, pp. 1–7. doi: 10.1109/ICAIQSA64000.2024.10882340.

[63] K. Nesa, J. Akhter, M. M. Hassain, and M. A. Kader, “Image Processing and IoT Based Smart Parking Slot Detection and Notification System,” in 2025 International Conference on Electrical, Computer and Communication Engineering (ECCE), IEEE, Feb. 2025, pp. 1–6. doi: 10.1109/ECCE64574.2025.11014054.

[64] B. Zheng, S. Tian, C. Rao, Q. Wang, C. Liang, and B. Tan, “Wireless Smart Greenhouse Management System Based on Multi-sensor of IoT,” in 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB), IEEE, Apr. 2023, pp. 95–99. doi: 10.1109/ICEIB57887.2023.10170112.

[65] A. E. Hamza et al., “Design and implement WSN/IoT smart parking management system using microcontroller,” International Journal of Electrical and Computer Engineering (IJECE), vol. 10, no. 3, p. 3108, Jun. 2020, doi: 10.11591/ijece.v10i3.pp3108-3115.

[66] W. Zhai, “Design of NarrowBand-IoT Oriented Wireless Sensor Network in Urban Smart Parking,” International Journal of Online and Biomedical Engineering (iJOE), vol. 13, no. 12, pp. 116–126, Dec. 2017, doi: 10.3991/ijoe.v13i12.7886.

[67] M. M. Ahmed et al., “Integrating IoT Technologies for Smart Parking Management: A Cost-Effective System with Telegram-Based Real-Time Alerts,” in 2024 IEEE 22nd Student Conference on Research and Development (SCOReD), IEEE, Dec. 2024, pp. 670–674. doi: 10.1109/SCOReD64708.2024.10872700.

[68] L. Lou, Q. Li, Z. Zhang, R. Yang, and W. He, “An IoT-Driven Vehicle Detection Method Based on Multisource Data Fusion Technology for Smart Parking Management System,” IEEE Internet Things J, vol. 7, no. 11, pp. 11020–11029, Nov. 2020, doi: 10.1109/JIOT.2020.2992431.

[69] M.Tamilselvi, “IoT-Driven Smart Parking with LoRaWAN and Magnetic Sensors for Advanced Vehicle Detection,” in 2025 6th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV), IEEE, Jun. 2025, pp. 1283–1287. doi: 10.1109/ICICV64824.2025.11085745.

[70] M. Fischer, M. Guggenberger, and T. Ussmueller, “A Smart Parking Sensor with Multi-purpose Antenna for Car Detection and Sensor Charging,” in 2020 50th European Microwave Conference (EuMC), IEEE, Jan. 2021, pp. 808–811. doi: 10.23919/EuMC48046.2021.9338176.

[71] S. S. Shankar et al., “IoT-based parking surveillance scheme: Emerging a smart, effective, and secured solution for urban parking management and performance improvement,” MATEC Web of Conferences, vol. 392, p. 01105, Mar. 2024, doi: 10.1051/matecconf/202439201105.

[72] A. E. Dwiputra, H. Khoswanto, R. Sutjiadi, and R. Lim, “IoT-Based Car’s Parking Monitoring System,” MATEC Web of Conferences, vol. 164, p. 01002, Apr. 2018, doi: 10.1051/matecconf/201816401002.

[73] G. Fertitta, W. Yang, A. Costanza, C. Martino, F. Macaluso, and D. Patanè, “Design and test of a Smart Sensor Box for structural and seismological monitoring with a high-performance QMEMS accelerometer,” in 2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT), IEEE, May 2024, pp. 541–546. doi: 10.1109/MetroInd4.0IoT61288.2024.10584235.

[74] M. Sidorov, J. H. Khor, P. V. Nhut, Y. Matsumoto, and R. Ohmura, “A Public Blockchain-Enabled Wireless LoRa Sensor Node for Easy Continuous Unattended Health Monitoring of Bolted Joints: Implementation and Evaluation,” IEEE Sens J, vol. 20, no. 21, pp. 13057–13065, Nov. 2020, doi: 10.1109/JSEN.2020.3001870.

[75] L. Iacussi, P. Chiariotti, and A. Cigada, “AI-Enhanced IoT System for Assessing Bridge Deflection in Drive-By Conditions,” Sensors, vol. 25, no. 1, p. 158, Dec. 2024, doi: 10.3390/s25010158.

[76] Sayali. R. Kokane and P. Jadhav, “Real Time Monitoring of Bridge by Using Sensor Technology with Concentration on Deflection Identification,” in 2025 1st International Conference on AIML-Applications for Engineering & Technology (ICAET), IEEE, Jan. 2025, pp. 1–5. doi: 10.1109/ICAET63349.2025.10932156.

[77] A. Abdelgawad and K. Yelamarthi, “Structural health monitoring: Internet of things application,” in 2016 IEEE 59th International Midwest Symposium on Circuits and Systems (MWSCAS), IEEE, Oct. 2016, pp. 1–4. doi: 10.1109/MWSCAS.2016.7870118.

[78] C. A. Ng, C. Pozzi, S. Lyon, M. Inalpolat, C. Niezrecki, and Y. Luo, “IoT acoustic sensor design and antenna selection for a wind turbine structural health monitoring system,” in NDE 4.0, Predictive Maintenance, Communication, and Energy Systems: The Digital Transformation of NDE II, N. G. Meyendorf, C. Niezrecki, and S. Farhangdoust, Eds., SPIE, May 2024, p. 10. doi: 10.1117/12.3010478.

[79] A. Abdelgawad and K. Yelamarthi, “Internet of Things (IoT) Platform for Structure Health Monitoring,” Wirel Commun Mob Comput, vol. 2017, pp. 1–10, 2017, doi: 10.1155/2017/6560797.

[80] A. R. Al-Ali et al., “An IoT-Based Road Bridge Health Monitoring and Warning System,” Sensors, vol. 24, no. 2, p. 469, Jan. 2024, doi: 10.3390/s24020469.

[81] X. Tong, H. Yang, L. Wang, and Y. Miao, “The Development and Field Evaluation of an IoT System of Low-Power Vibration for Bridge Health Monitoring,” Sensors, vol. 19, no. 5, p. 1222, Mar. 2019, doi: 10.3390/s19051222.

[82] K. Chaturvedi and T. H. Kolbe, “Towards Establishing Cross-Platform Interoperability for Sensors in Smart Cities,” Sensors, vol. 19, no. 3, p. 562, Jan. 2019, doi: 10.3390/s19030562.

[83] G. Kambala, “Enhancing IoT Data Exchange and Security through a Multi-Domain Interoperability Framework: Integrating Zigbee Network with Microsoft Azure IoT Platform,” in 2025 Global Conference in Emerging Technology (GINOTECH), IEEE, May 2025, pp. 1–7. doi: 10.1109/GINOTECH63460.2025.11076962.

[84] O. B. Mora-Sanchez, E. Lopez-Neri, E. J. Cedillo-Elias, E. Aceves-Martinez, and V. M. Larios, “Validation of IoT Infrastructure for the Construction of Smart Cities Solutions on Living Lab Platform,” IEEE Trans Eng Manag, vol. 68, no. 3, pp. 899–908, Jun. 2021, doi: 10.1109/TEM.2020.3002250.

[85] E. Patti and A. Acquaviva, “IoT platform for Smart Cities: Requirements and implementation case studies,” in 2016 IEEE 2nd International Forum on Research and Technologies for Society and Industry Leveraging a better tomorrow (RTSI), IEEE, Sep. 2016, pp. 1–6. doi: 10.1109/RTSI.2016.7740618.

[86] V. Pranavasri et al., “Scalable and Interoperable Distributed Architecture for IoT in Smart Cities,” in 2023 IEEE 9th World Forum on Internet of Things (WF-IoT), IEEE, Oct. 2023, pp. 01–06. doi: 10.1109/WF-IoT58464.2023.10539501.

[87] J. N. S. Rubí and P. R. de Lira Gondim, “IoT‐based platform for environment data sharing in smart cities,” International Journal of Communication Systems, vol. 34, no. 2, Jan. 2021, doi: 10.1002/dac.4515.

[88] M. W. Iqbal, K. Khaliq, N. A. Al-Dmour, M. Aqeel, N. Ali, and K. Hamid, “Internet of Things (IoT) in Smart Cities: A Statistical Survey,” in 2023 International Conference on Business Analytics for Technology and Security (ICBATS), IEEE, Mar. 2023, pp. 1–6. doi: 10.1109/ICBATS57792.2023.10111206.

[89] A. Morelli, L. Campioni, N. Fontana, N. Suri, and M. Tortonesi, “A Federated Platform to Support IoT Discovery in Smart Cities and HADR Scenarios,” in 2020 Federated Conference on Computer Science and Information Systems, Polskie Towarzystwo Informatyczne, Sep. 2020, pp. 511–519. doi: 10.15439/2020F48.

[90] E. Patti et al., “Combining BIM, GIS, and IoT to Foster Energy Management and Simulation in Smart Cities,” 2021, pp. 425–447. doi: 10.4018/978-1-7998-7091-3.ch019.

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Published

2025-12-31

How to Cite

Noorachmad Muttaqin, A., Rasendriya Aniko, A., Ivan Fadilah, M., Hizbullah, F., & Abdulmana, S. (2025). Internet of Things for Urban Infrastructure: Applications, Challenges, and Future Directions – A Review. Acceleration, Quantum, Information Technology and Algorithm Journal, 2(2), 71–84. https://doi.org/10.62123/aqila.v2i2.102

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