Lora-Based Smart Home System Design using Modbus Protocol and Antares Platform

Authors

  • Adhim Triano Nasrullah Department Of Electrical Engineering, Faculty Of Vocational Studies, Surabaya, Indonesia Author

Keywords:

smart home, LoRa, antares, Internet of Things, arduino ide

Abstract

A smart home integrates intelligent technologies to automatically respond to occupants’ needs, enhancing energy efficiency, comfort, security, and convenience. This paper presents the design and implementation of a smart home monitoring and control system using LoRa (Long Range) wireless communication, the Modbus protocol, and the Antares IoT platform. LoRa was selected for its low power consumption and long-distance transmission capabilities, ideal for Internet of Things (IoT) applications. The system employs microcontrollers programmed via Arduino IDE to enable real-time data acquisition and device control. Modbus RTU/TCP is implemented to ensure reliable and standardized communication between devices, promoting interoperability and system scalability. Data collected from sensors are transmitted through LoRa to a gateway, then forwarded to the Antares platform for remote monitoring and user interaction. An experimental approach was used to evaluate the system’s performance in terms of packet delivery ratio, latency, and data consistency on Antares. Results show stable and consistent communication over distances up to 300 meters in urban environments, with successful device control and minimal data loss. The integration with Antares provides an intuitive interface for remote access and visualization. This study demonstrates that combining LoRa, Modbus, and Antares offers a cost-effective, scalable, and robust solution for smart home automation, suitable for deployment in residential environments

Downloads

Download data is not yet available.

Author Biography

  • Adhim Triano Nasrullah, Department Of Electrical Engineering, Faculty Of Vocational Studies, Surabaya, Indonesia

    Department Of Electrical Engineering, Faculty Of Vocational Studies, Surabaya, Indonesia

References

[1] J. Shin, N. Hassan, A. S. M. Miah, and S. Nishimura, “A Comprehensive Methodological Survey of Human Activity Recognition Across Diverse Data Modalities,” Sensors, vol. 25, no. 13, 2025, doi:https://doi.org/10.3390/s25134028

[2] X. Zhao, C. Tang, H. Hu, W. Wang, S. Qiao, and A. Tong, “Attention mechanism based multimodal feature fusion network for human action recognition,” J. Vis. Commun. Image Represent., vol. 110, 2025, doi: https://doi.org/10.1016/j.jvcir.2025.104459

[3] B. Wu et al., “Lightweight and efficient skeleton-based sports activity recognition with ASTM-Net,” PLoS One, vol. 20, no. 7 July, 2025, doi: https://doi.org/10.1371/journal.pone.0324605

[4] M. López-Bonilla, A. R. Herrera-Orozco, and A. Molina-Cabrera, “An overview of methods for detecting and locating incipient faults in underground cables,” Electr. Power Syst. Res., vol. 245, 2025, doi: https://doi.org/10.1016/j.epsr.2025.111631

[5] C. D. McDermott and M. Nicho, “Threat detection in smart homes: A sociotechnical multimodal conversational approach for improved cyber situational awareness,” Int. J. Inf. Secur., vol. 24, no. 4, 2025, doi: https://doi.org/10.1007/s10207-025-01051-x.

[6] M. Tarhouni and I. Aloui, “Towards smart home automation based on containerization,” Cluster Comput., vol. 28, no. 5, 2025, doi: https://doi.org/10.1007/s10586-025-05147-w.

[7] T. Gu and M. Tang, “Indoor Abnormal Behavior Detection for the Elderly: A Review,” Sensors, vol. 25, no. 11, 2025, doi: https://doi.org/10.3390/s25113313.

[8] G. Paparis, A. Zarras, A. Farao, and C. Xenakis, “CRASHED: Cyber risk assessment for smart home electronic devices,” J. Inf. Secur. Appl., vol. 91, 2025, doi: https://doi.org/10.1016/j.jisa.2025.104054.

[9] S. Comai, A. Masciadri, G. Pozzi, and F. Salice, “Monitoring Dressing Autonomy: A Remote Home Care RFID-Based Solution for People with Dementia,” SN Comput. Sci., vol. 6, no. 5, 2025, doi: https://doi.org/10.1007/s42979-025-03975-6.

[10] B. Irawan, J. Kurniasih, T. Rahmawati, E. Y. Sari, A. Priyanto, and M. Salim, “Application of lightweight blockchain technology in smart tourism,” in AIP Conference Proceedings, 2025. doi: https://doi.org/10.1063/5.0262957.

[11] P. Gong and X. Luo, “A Survey of Video Action Recognition Based on Deep Learning,” Knowledge-Based Syst., vol. 320, 2025, doi:https:/doi.org/10.1016/j.knosys.2025.113594.

[12] H. Sun, S. Qiao, Y. He, X. Sun, and Y. Ma, “Parts-per-quadrillion level gas molecule detection: CO-LITES sensing,” Light Sci. Appl., vol. 14, no. 1, 2025, doi: https://doi.org/10.1038/s41377-025-01864-4.

[13] K. Li, Y. Liang, Y. Liu, and Y.-S. Lin, “Tunable MEMS-based meta-absorbers for nondispersive infrared gas sensing applications,” Microsystems Nanoeng., vol. 11, no. 1, 2025, doi: https://doi.org/10.1038/s41378-024-00851-w.

[14] Y. Li, Y. Zhang, H. Ma, Y. Wan, and T. Zhao, “Low-dimensional metal chalcogenides for wearable gas sensing,” Nano Converg., vol. 12, no. 1, 2025, doi: https://doi.org/10.1186/s40580-025-00500-6.

[15] J. S. Kim et al., “Forming-free chemi-memristive gas sensing for artificial olfactory system,” Sensors Actuators B Chem., vol. 444, 2025, doi: https://doi.org/10.1016/j.snb.2025.138315.

[16] L. Xu et al., “Neural network optimization algorithms for high-precision TDLAS gas spectroscopic detection,” Spectrochim. Acta - Part A Mol. Biomol. Spectrosc., vol. 343, 2025, doi: https://doi.org/10.1016/j.saa.2025.126596.

[17] A. Alzahrani, “A systematic review of the use of information communication technology, including augmented reality, in the teaching of science to preschool children,” Int. J. Educ. Res. Open, vol. 9, 2025, doi: https://doi.org/10.1016/j.ijedro.2025.100453.

[18] D. Y. Wang, E. L.-Y. Wong, A. W.-L. Cheung, Z. P.-Y. Tam, K.-S. Tang, and E.-K. Yeoh, “Enhancing implementation of information and communication technologies for post-discharge care among hospitalized older adult patients: development of a multifaceted implementation intervention package using the behavior change wheel and implementation research logic model,” Implement. Sci. Commun., vol. 6, no. 1, 2025, doi:https://doi.org/10.1186/s43058-025-00739-4.

[19] S. Bao, Q. Huang, B. Chen, and Y. Jiang, “Hydrometallurgical recovery of gallium from gallium-containing secondary resources: Leaching, separation and purification,” Sep. Purif. Technol., vol. 376, 2025, doi: https://doi.org/10.1016/j.seppur.2025.134068.

[20] K. Fuchs-Kittowski, “Against the Mind of a Mindless Age, the Power of Computers and the Destruction of Reason: Responsibility for a Humane Development of Technology and Society,” TripleC , vol. 23, no. 1, pp. 110–130, 2025, doi: https://doi.org/10.31269/triplec.v23i1.1598.

[21] V. L. Venegas-Mejía, J. Esquivel-Grados, F. R. Benavidez-Núñez, and I. L. Quispe-Ticona, “Education for Sustainability: A Valuative Perspective on Learning and Knowledge Technologies by Graduates,” Clio. Rev. Hist. Ciencias Humanas y Pensam. Critico., vol. 5, no. 9, pp. 267–288, 2025, doi: 10.5281/zenodo.14559327.

[22] M. Nomura et al., “Long-term outcome of a treat-to-target strategy in late-onset rheumatoid arthritis with chronic lung disease: 5-year results of a prospective observational study,” Arthritis Res. Ther., vol. 27, no. 1, 2025, doi: https://doi.org/10.1186/s13075-025-03491-1.

[23] M. T. V Joseph Salomon et al., “IoT security approach based random distribution of communication frequency,” MethodsX, vol. 15, 2025, doi: https://doi.org/10.1016/j.mex.2025.103465.

[24] G. Kaur, V. Balyan, and S. H. Gupta, “Nature inspired optimization of IoT network for delay resistant and energy efficient applications,” Sci. Rep., vol. 15, no. 1, 2025, doi: https://doi.org/10.1038/s41598-025-95138-z.

[25] X. Wang, W. Zhao, and X. Niu, “Low voltage user power internet of things monitoring system based on LoRa wireless technology,” Energy Informatics, vol. 8, no. 1, 2025, doi: https://doi.org/10.1186/s42162-025-00472-1.

[26] M. Lazaro, A. Lazaro, R. Villarino, and D. Girbau, “Home surveillance system based on LoRa backscattering,” Sci. Rep., vol. 15, no. 1, 2025, doi: https://doi.org/10.1038/s41598-025-96624-0.

[27] Y. Song, C. Lv, K. Zhu, and X. Qiu, “LoRA fine-tuning of Llama3 large model for intelligent fishery field,” Discov. Comput., vol. 28, no. 1, 2025, doi: https://doi.org/10.1007/s10791-025-09663-6.

[28] W. A. C. Lopes, A. C. Rusteiko, C. R. Mendes, N. V. C. Honório, and M. T. Okano, “Integration of Digital Twin, IoT and LoRa in SCARA Robots for Decentralized Automation with Wireless Sensor Networks,” Eng, vol. 6, no. 5, 2025, doi: https://doi.org/10.3390/eng6050090.

[29] A. Yazar, Z. Danış, A. Cevahir, B. B. Aydın, F. Ateşoğlu, and U. Anuk, “Scenario-based recommendation approach for wireless communications networks of smart meters,” Telecommun. Syst., vol. 88, no. 2, 2025, doi: https://doi.org/10.1007/s11235-025-01278-y

[30] K. Z. Islam, D. Murray, D. Diepeveen, M. G. K. Jones, and F. Sohel, “Deep Learning based Payload Optimization for Image Transmission over LoRa with HARQ,” Internet Things (The Netherlands), vol. 33, 2025, doi: https://doi.org/10.1016/j.iot.2025.101701

[31] X. Yao, H. Liu, and X. Yang, “Component-Coordinated and Uncertainty-Enhanced LoRA for Few-shot Source-Free Domain Adaptive Object Detection,” Neurocomputing, vol. 650, 2025, doi: https://doi.org/10.1016/j.neucom.2025.130787.

[32] W. A. Jabbar, T. K. Keat, F. A. Dael, L. C. Hong, Y. F. M. Yussof, and A. Nasir, “Optimising urban lighting efficiency with IoT and LoRaWAN integration in smart street lighting systems,” Discov. Internet Things, vol. 5, no. 1, 2025, doi: https://doi.org/10.1007/s43926-025-00163-z.

[33] S. Zhao et al., “Enhancing Bidirectional Modbus TCP ↔ RTU Gateway Performance: A UDP Mechanism and Markov Chain Approach,” Sensors, vol. 25, no. 13, 2025, doi: https://doi.org/10.3390/s25133861.

[34] T. Kotsiopoulos, P. Radoglou-Grammatikis, Z. Lekka, V. Mladenov, and P. Sarigiannidis, “Defending industrial internet of things against Modbus/TCP threats: A combined AI-based detection and SDN-based mitigation solution,” Int. J. Inf. Secur., vol. 24, no. 4, 2025, doi: https://doi.org/10.1007/s10207-025-01076-2.

[35] W.-C. Chen, B.-Y. Ji, and H.-H. Chen, “A case study on implementing a flexible IIoT service framework for the integration of machine tools,” J. Ind. Inf. Integr., vol. 47, 2025, doi: https://doi.org/10.1016/j.jii.2025.100908.

[36] S. Wali, Y. A. Farrukh, I. Khan, and J. A. Hamilton, “Covert penetrations: Analyzing and defending SCADA systems from stealth and Hijacking attacks,” Comput. Secur., vol. 156, 2025, doi:https://doi.org/10.1016/j.cose.2025.104449.

[37] J. Suchorab, S. Plamowski, and M. Ławryńczuk, “Anomaly detection system for Modbus data based on an open source tool,” Comput. Secur., vol. 157, 2025, doi: https://doi.org/10.1016/j.cose.2025.104572.

[38] S. B. Arifsa, M. Z. Romdlony, M. R. Rosa, and F. Budiman, “Electric power monitoring system in shrimp ponds based on internet of things (IoT),” in AIP Conference Proceedings, 2023. doi: https://doi.org/10.1063/5.0117681.

[39] K. V Nikijuluw and D. Widjaja, “Performance comparison of IoT platforms in simultaneous data processing,” in AIP Conference Proceedings, 2023. doi: https://doi.org/10.1063/5.0116034

[40] A. Najmurrokhman, U. Komarudin, and D. I. Amirulloh, “Three phase current monitoring system using SCT013 sensor and Internet of Things platform,” in AIP Conference Proceedings, 2023. doi: https://doi.org/10.1063/5.0112698.

[41] S. Wahyu et al., “Optimization of a Smart Greenhouse with a Solar Energy System for Floating Raft Hydroponic Cultivation: Implementation and Performance Evaluation,” in Journal of Physics: Conference Series, 2024. doi: https://doi.org/10.1088/1742-6596/2866/1/012098.

[42] A. Z. Purwalaksana et al., “IoT System for Floating Raft Hydroponics: Nutrient Monitoring and Automation,” in Journal of Physics: Conference Series, 2024. doi: https://doi.org/10.1088/1742-6596/2866/1/012042.

[43] S. Kumar Gouda, A. Choudhry, S. P. Satpathy, K. M. Shukla, A. K. Dash, and A. K. Pasayat, “Integration of EEG-based BCI technology in IoT enabled smart home environment: An in-depth comparative analysis on human-computer interaction techniques,” Expert Syst. Appl., vol. 294, 2025, doi:https:/doi.org/10.1016/j.eswa.2025.128730

[44] H. Rahm Dakheel Al-Fayyadh, R. Khorsand, A. Mohsin Hamad, and M. Ramezanpour, “IoT service placement using improved ANFIS classifier and improved dung beetle optimization algorithm in Fog-Cloud computing,” Expert Syst. Appl., vol. 294, 2025, doi: https://doi.org/10.1016/j.eswa.2025.128688.

[45] J. Van Den Broek, M. Hodkiewicz, and A. Polpo, “Liner Wear Prediction Using Bayesian Regression Models and Clustering,” Int. J. Progn. Heal. Manag., vol. 16, no. 1, 2025, doi: https://doi.org/10.36001/ijphm.2025.v16i1.4266.

[46] M. Manikandan, S. Prasad Jones Christydas, R. Saravanakumar, and S. Alamelu Alias Rajasree, “Enhanced Performance of Hybrid Dielectric Resonator Antenna with Hexagonal Ring Patch and Ground Slot for Multiband Operation in 5G Wireless Communication,” Teh. Vjesn., vol. 32, no. 1, pp. 313–318, 2025, doi: https://doi.org/10.17559/TV-20240108001254.

[47] H. J. Khasawneh et al., “Industrial IoT-based submetering solution for real-time energy monitoring,” Discov. Internet Things, vol. 5, no. 1, 2025, doi: https://doi.org/10.1007/s43926-025-00110-y.

[48] M. Garefalakis, Z. Kamarianakis, and S. Panagiotakis, “Remote Laboratory for developing an IoT system,” in Proceedings - 28th Pan-Hellenic Conference on Progress in Computing and Informatics with International Participation, PCI 2024, 2025, pp. 315–323. doi: https://doi.org/10.1145/3716554.3716602.

[49] M. Chatsuwan, M. Ichinose, and H. Alkhalaf, “Enhancing Facility Management with a BIM and IoT Integration Tool and Framework in an Open Standard Environment,” Buildings, vol. 15, no. 11, 2025, doi: https://doi.org/10.3390/buildings15111928

[50] A. S. Cabuk, “Air Quality Regulatory of Primary Care Clinics System Designed with IoT Using the Node-RED,” Water. Air. Soil Pollut., vol. 236, no. 6, 2025, doi: https://doi.org/10.1007/s11270-025-08020-z.

[51] P. Hoang Dinh and T. S. Seo, “A comprehensive diagnostic platform leveraging voice-control feature for rapid SARS-CoV-2 detection using reverse transcription loop-mediated isothermal amplification,” Sensors Actuators B Chem., vol. 436, 2025, doi: https://doi.org/10.1016/j.snb.2025.137690.

Lora-Based Smart Home System Design using Modbus Protocol and Antares Platform

Downloads

Published

2025-11-15

Issue

Section

Articles

How to Cite

Lora-Based Smart Home System Design using Modbus Protocol and Antares Platform. (2025). Journal of Intelligent Computing and Engineering, 1(1), 9-18. https://journal.ascendiumglobal.org/ascendiumjournal/index.php/ajice/article/view/4

Similar Articles

You may also start an advanced similarity search for this article.