Design of a Modular and Scalable IoT-Based System for Utility Management: A Case Study at 3 Towers Residences

Design of a Modular and Scalable IoT-Based System for Utility Management: A Case Study at 3 Towers Residences

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© 2025 by IJETT Journal
Volume-73 Issue-6
Year of Publication : 2025
Author : Gunarto Wibisono, Ahmad Nurul Fajar
DOI : 10.14445/22315381/IJETT-V73I6P117

How to Cite?
Gunarto Wibisono, Ahmad Nurul Fajar, "Design of a Modular and Scalable IoT-Based System for Utility Management: A Case Study at 3 Towers Residences," International Journal of Engineering Trends and Technology, vol. 73, no. 6, pp.191-213, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I6P117

Abstract
The utility recording process in residential buildings is often prone to errors due to manual handling, inefficiencies, and delays, which affect billing accuracy and disrupt operational workflow. This paper proposes a conceptual design of a modular and scalable IoT-based utility management system using the Modbus communication protocol, which can connect up to 31 smart meters per node. However, the system supports expansion across extensive residential infrastructure. The proposed design has been validated through expert discussions and stakeholder evaluations, projecting a potential reduction in data transfer time from over five days to just one hour, enabling real-time monitoring, minimizing human error, and ensuring billing is issued on the first day of each month. Although full deployment has not been executed, this paper outlines the conceptual system design, expected benefits, and potential for broader application across similar residential properties in Indonesia and beyond.

Keywords
Internet of Things, Modbus communication, Modularity, Scalability, Utility management.

References
[1] Mehmet Güçyetmez, and Husham Sakeen Farhan, “Enhancing Smart Grids with a New IOT and Cloud-Based Smart Meter to Predict the Energy Consumption with Time Series,” Alexandria Engineering Journal, vol. 79, pp. 44-55, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Jürgen-Friedrich Hake et al., “The German Energiewende-History and Status Quo,” Energy, vol. 92, pp. 532-546, 2015.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Elisabeth Wendlinger, The Smart Meter Rollout in Germany and Europe, FFE Germany, 2023. [Online]. Available: https://www.ffe.de/en/publications/the-smart-meter-rollout-in-germany-and-europe/ [4] Jaime Lloret et al., “An Integrated IoT Architecture for Smart Metering,” IEEE Communications Magazine, vol. 54, no. 12, pp. 50-57, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[5] Tonmoy Hassan et al., “IoT-Based Smart Net Energy Meter with Advanced Billing Feature for Residential Buildings Including Solar PV System,” International Journal of Power Electronics and Drive Systems, vol. 15, no. 2, pp. 1254-1265, 2024.
[CrossRef] [Google Scholar] [ Publisher Link ]
[6] Lei Yu, Babar Nazir, and Yinling Wang, “Intelligent Power Monitoring of Building Equipment based on Internet of Things Technology,” Computer Communications, vol. 157, pp. 76-84, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[7] Naef Saab, Remko Helms, and Martijn Zoet, “Predictive Quality Performance Control in BPM: Proposing a Framework for Predicting Quality Anomalies,” Procedia Computer Science, vol. 138, pp. 714-723, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Melvin Alexander, “Six Sigma: The Breakthrough Management Strategy Revolutionizing the World’s Top Corporations,” Technometrics, vol. 43, no. 3, 2001.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Iván Alfonso et al., “Self-Adaptive Architectures in IoT Systems: A Systematic Literature Review,” Journal of Internet Services and Applications, vol. 12, no. 1, pp. 1-28, 2021.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Samir Yerpude, and Tarun Kumar Singhal, “Internet of Things Based Customer Relationship Management-A Research Perspective,” International Journal of Engineering and Technology (UAE), vol. 7, no. 2.7, pp. 444-450, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[11] Devendra M. Jaiswal, and Mohan P. Thakre, “Modeling & Designing Smart Energy Meters for Smart Grid Applications,” Global Transitions Proceedings, vol. 3, no. 1, pp. 311-316, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Zhiyi Chen et al., “Control and Optimisation of Power Grids Using Smart Meter Data: A Review,” Sensors, vol. 23, no. 4, pp. 1-26, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[13] John Griffith, RS-485 Basics: How to Calculate Unit Loads and the Maximum Number of Nodes on Your Network, 2023. [Online]. Available: https://www.ti.com/document-viewer/lit/html/SSZTBJ6
[14] Omer Ali et al., “A Comprehensive Review of Internet of Things: Technology Stack, Middlewares, and Fog/Edge Computing Interface,” Sensors, vol. 22, no. 3, pp. 1-43, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Miguel Arvana, João Goes, and Andre Dionisio Rocha, “Modular and Configurable Internet of Things Devices for Value Chain Digitalization,” Doctoral Conference on Computing, Electrical and Industrial Systems, Caparica, Portugal, pp. 295-308, 2024.
[CrossRef] [Google Scholar] [Publisher Link]
[16] Asad Javed et al., “Scalable IoT Platform for Heterogeneous Devices in Smart Environments,” IEEE Access, vol. 8, pp. 211973-211985, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[17] Amir Laadhar et al., “Web of Things Semantic Interoperability in Smart Buildings,” Procedia Computer Science, vol. 207, pp. 997-1006, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[18] Zhuo Zou et al., “Edge and Fog Computing Enabled AI for IoT-An Overview,” 2019 IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS), Hsinchu, Taiwan, pp. 51-56, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[19] Asier Atutxa et al., “Improving Efficiency and Security of IoT Communications using In-Network Validation of Server Certificate,” Computers in Industry, vol. 144, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[20] N. Sushma et al., “A Unified Metering System Deployed for Water and Energy Monitoring in Smart City,” IEEE Access, vol. 11, pp. 80429-80447, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[21] F. Abate et al., “A Low-Cost Smart Power Meter for IoT,” Measurement, vol. 136, pp. 59-66, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[22] Ioana-Victoria Nițulescu, and Adrian Korodi, “Supervisory Control and Data Acquisition Approach in Node-RED: Application and Discussions,” Internet of Things, vol. 1, no. 1, pp. 76-91, 2020.
[CrossRef] [Google Scholar ] [Publisher Link]
[23] Brock Glasgo, Chris Hendrickson, and Ines M.L. Azevedo, “Using Advanced Metering Infrastructure to Characterize Residential Energy Use,” Electricity Journal, vol. 30, no. 3, pp. 64-70, 2017.
[CrossRef] [Google Scholar] [Publisher Link]