AccScience Publishing / IJOSI / Online First / DOI: 10.6977/IJoSI.2026XX_XX(X).026180069
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Garbage Guardian: Revolutionizing waste management through Internet of Things and a mobile application

Pankaj Mudholkar1* Megha Mudholkar2
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1 Faculty of Computer Applications, Marwadi University, Rajkot, Gujarat , India
2 Department of Computer Engineering, Faculty of Engineering and Technology, Marwadi University, Rajkot, Gujarat , India
Received: 28 April 2026 | Revised: 23 July 2026 | Accepted: 12 August 2026 | Published online: 28 August 2026
© 2026 by the Author(s). This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution -Noncommercial 4.0 International License (CC-by the license) ( https://creativecommons.org/licenses/by-nc/4.0/ )
Abstract

As city populations grow rapidly, municipal solid waste has increased significantly. Current waste management techniques face many challenges, including inefficient waste collection, overflowing bins, increased transportation and maintenance costs, and environmental pollution. Conventional waste management models mostly rely on manual checks, and collection follows a fixed schedule; both lead to resource waste and delayed collection. This study proposes Garbage Guardian, an Internet of Things (IoT)-based waste management model with a mobile application that supports real-time waste level monitoring, automated waste segregation, and efficient waste collection. The system uses ultrasonic and infrared sensors connected to the NodeMCU to monitor bin waste levels and wirelessly transmit sensor data to the cloud server. The proposed framework provides real-time notifications, cloud-based monitoring, waste-collection support, and a mobile application interface for citizens, waste collectors, and local government. The system’s effectiveness was tested by measuring waste level detection, notification delay, waste segregation, and IoT-enabled communication performance. The experimental results show that waste level detection in the smart waste bin ranges from 95% to 99%, and notification delay ranges from 0.8 s to 1.0 s. Furthermore, the proposed system offers waste segregation efficiency ranging between 94% and 97%. The results demonstrate the proposed framework’s ability to provide reliable real-time waste monitoring, timely notifications, and effective waste segregation for smart waste management, indicating that it can support efficient, safe, and sustainable waste management. The framework also supports the development of smart and sustainable cities by improving waste-collection efficiency, reducing negative environmental impacts, and promoting the use of smart technologies in waste collection.

Keywords
Internet of Things
Smart waste management
Smart city
Waste segregation
Route optimization
Real-time monitoring
Mobile application
Cloud computing
Funding
This research was supported by the Knowledge Consortium of Gujarat (KCG) and the Education Department, Government of Gujarat, through a Minor Research Project Grant for the project titled “Garbage Guardian: Revolutionizing Waste Management through IoT and Mobile App.” The authors gratefully acknowledge their financial support and encouragement, which contributed significantly to the successful completion of this research.
Conflict of interest
The authors declare that there is no conflict of interest regarding the publication of this paper.
References

Aahash, G., Ajay Prasath, V., Gopinath, D., & Gunasekaran, M. (2018). Automatic waste segregator using Arduino. International Journal of Engineering Research & Technology, 6(7), 1–4.

 

Alourani, A., Ashraf, M. U., & Aloraini, M. (2025). Smart waste management and classification system using advanced IoT and AI technologies. PeerJ Computer Science, 11, e2777. https://doi.org/10.7717/peerj-cs.2777

 

Anagnostopoulos, T., Zaslavsky, A., Kolomvatsos, K., Medvedev, A., Amirian, P., Morley, J., & Hadjiefthymiades, S. (2017). Challenges and opportunities of waste management in IoT-enabled smart cities: A survey. IEEE Transactions on Sustainable Computing, 2(3), 275–289. https://doi.org/10.1109/TSUSC.2017.2691049

 

Anand, J., Elangovan, V., Muthukumar, V., & Chandrasekar, T. (2023). Waste management system using IoT for sustainable cities. In 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS) (pp. 1634–1639). IEEE. https://doi.org/10.1109/ICAISS58487.2023.10250610

 

Anitha, R., & Parthiban, A. (2025). AI-IoT-graph synergy for smart waste management: A scalable framework for predictive, resilient, and sustainable urban systems. Frontiers in Sustainability, 6, 1675021. https://doi.org/10.3389/frsus.2025.1675021

 

Arunkumar, M. S., Sathishkumar, P., Suguna, R., & Deepa, S. (2022). An Internet of Things based waste management system using hybrid machine learning technique. In 2022 6th International Conference on Electronics, Communication and Aerospace Technology (ICECA) (pp. 438–443). IEEE. https://doi.org/10.1109/ICECA55336.2022.10009242

 

Doriya, J. J., Krithika, B., Agarwal, D., & Kumar, M. (2020). Waste sorting dustbin with Arduino based smart motor rotating tray. International Journal of Recent Technology and Engineering, 8(6S), 25–28. https://doi.org/10.35940/ijrte.F1005.0386S20

 

Folianto, F., Low, Y. S., & Yeow, W. L. (2015). SmartBin: Smart waste management system. In 2015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) (pp. 1–2). IEEE. https://doi.org/10.1109/ISSNIP.2015.7106974

 

Gangwani, M., Pandey, M., Punjabi, N., Khatwani, P., & Sahu, S. (2019). A comprehensive study on waste segregation techniques. International Journal of Engineering Research & Technology, 8(4).

 

Ghosh, D., & Goswami, A. (2025). Enhanced deep learning framework for efficient garbage classification in smart waste management systems. Information Sciences, 719, 122462. https://doi.org/10.1016/j.ins.2025.122462

 

Gowda, S. B., Balapriya, F., Chaya, K. R., Yadav, H. K., & Vinutha, H. (2022). Enhanced smart waste segregation and management using Arduino. International Journal of Engineering Research & Technology, 11(5).

 

Harith, M. Z. M. Z., Hossain, M. A., Ahmedy, I., Idris, M. Y. I., Soon, T. K., & Noor, R. M. (2020). Prototype development of IoT based smart waste management system for smart city. IOP Conference Series: Materials Science and Engineering, 884(1), 012051. https://doi.org/10.1088/1757-899X/884/1/012051

 

Huynh, M.-H., Pham-Hoai, P.-T., Tran, A.-K., & Nguyen, T.-D. (2020). Automated waste sorting using convolutional neural network. In 2020 7th NAFOSTED Conference on Information and Computer Science (NICS) (pp. 102–107). IEEE. https://doi.org/10.1109/NICS51282.2020.9335897

 

Ishaque, N. B. M., & Florence, S. M. (2025). An intelligent deep learning based classification with vehicle routing technique for municipal solid waste management. Journal of Hazardous Materials Advances, 18, 100655. https://doi.org/10.1016/j.hazadv.2025.100655

 

Islam, M. S., Hannan, M. A., Arebey, M., & Basri, H. (2012). An overview for solid waste bin monitoring system. Journal of Applied Sciences Research, 8(2), 879–886.

 

Jaison, T. M., Jefin, J., Sivan, K., Vinayakan, H., & Joseph, T. (2024). Smart waste management system using IoT. International Journal of Scientific Research in Engineering & Technology, 04–08. https://doi.org/10.59256/ijsreat.20240403002

 

Jasmine, A., Divya, P., Lourdu Anusiya, L., & Sarumathi, K. (2020). Automated waste segregation machine using Arduino controller. International Journal of Creative Research Thoughts, 8(9).

 

Kapadia, N., & Mehta, R. (2024). Energy efficient waste collection vehicle routing system using time series prediction. Multimedia Tools and Applications, 84(9), 6157–6186. https://doi.org/10.1007/s11042-024-18894-6

 

Kim, J., Manna, A., Roy, A., & Moon, I. (2025). Clustered vehicle routing problem for waste collection with smart operational management approaches. International Transactions in Operational Research, 32(2), 863–887. https://doi.org/10.1111/itor.13282

 

Kishore, G. K., Sonali, P., Divya, K., Reddy, V. M., & Pravalika, P. (2024). Smart wet and dry waste management system using IoT. International Journal for Research in Applied Science and Engineering Technology, 12(4), 5039–5042. https://doi.org/10.22214/ijraset.2024.61200

 

Kumar, S. S., Prasad, D. S. K., & Navya, M. (2025). IoT-based improvements to the sustainability and efficiency of waste management. In 2025 6th International Conference on Electronics and Sustainable Communication Systems (ICESC) (pp. 1293–1298). IEEE. https://doi.org/10.1109/ICESC65114.2025.11212431

 

Longhi, S., Marzioni, D., Alidori, E., Di Buo, G., Prist, M., Grisostomi, M., & Pirro, M. (2012). Solid waste management architecture using wireless sensor network technology. In 2012 5th International Conference on New Technologies, Mobility and Security (NTMS) (pp. 1–5). IEEE. https://doi.org/10.1109/NTMS.2012.6208764

 

Malleswari, E., & Nanda Kishore, S. (2020). Smart wastage segregation using Arduino UNO. International Journal of Recent Technology and Engineering, 8(5), 2074–2078. https://doi.org/10.35940/ijrte.E5734.018520

 

Nikam, V. V. (2025). IoT-enabled smart waste management system for real-time monitoring and optimization. Zenodo. https://doi.org/10.5281/zenodo.18144503

 

Nikhilendra, J. N., Kalmath, M., Vallabhadas, S. K., Mary, G. I., Julian, A., & Rele, M. (2025). IoT-based waste management system. In 2025 International Conference in Advances in Power, Signal, and Information Technology (APSIT) (pp. 1–5). IEEE. https://doi.org/10.1109/APSIT63993.2025.11086196

 

Oyerinde, I. M., Oke, A. O., Oyediran, M. O., & Dare-Rapheal, B. F. (2025). Development of Internet of Things (IoT) based waste management system. LAUTECH Journal of Engineering and Technology, 9(2). https://doi.org/10.36108/laujet/5202.91.0212

 

Pandey, S., Makkena, S., & Sachdeva, S. (2021). Smart garbage segregator using IoT. International Journal of Creative Research Thoughts, 9(5).

 

Pardini, K., Rodrigues, J. J. P. C., Kozlov, S. A., Kumar, N., & Furtado, V. (2019). IoT-based solid waste management solutions: A survey. Journal of Sensor and Actuator Networks, 8(1), 5. https://doi.org/10.3390/jsan8010005

 

Pardini, K., Rodrigues, J. J. P. C., Diallo, O., Das, A. K., de Albuquerque, V. H. C., & Kozlov, S. A. (2020). A smart waste management solution geared towards citizens. Sensors, 20(8), 2380. https://doi.org/10.3390/s20082380

 

Perangin Angin, D., Siagian, H., Suryanto, E. D., Sashanti, R., & Marcopolo. (2018). Design and development of the trash spliter with three different sensors. Journal of Physics: Conference Series, 1007(1), 012057. https://doi.org/10.1088/1742-6596/1007/1/012057

 

Punia, V. (2025). IoT-enabled smart waste management system using Edge AI for real-time monitoring and optimization. International Journal of Research and Review in Applied Science, Humanities, and Technology, 195–200. https://doi.org/10.71143/r93z6755

 

Raghavendra, D., & Srinivasulu, M. (2022). Mobile application model for solid waste collection system. International Journal for Research Trends and Innovation, 7(9), 237–242. Accessed May 31, 2023. https://www.ijrti.org/papers/IJRTI2209031.pdf

 

Ramesh, P. S., Sahayaraj, J. M., Subash, N., Mugunthan, S. R., & Pratha, S. J. (2022). IoT based waste management system. In 2022 International Conference on Electronics and Renewable Systems (ICEARS) (pp. 587–592). IEEE. https://doi.org/10.1109/ICEARS53579.2022.9752091

 

Sharma, N., & Vrat, P. (2018). Impact of various factors on stock-induced food waste in Indian weddings. Journal of Advances in Management Research, 15(1), 37–57. https://doi.org/10.1108/JAMR-09-2017-0087

 

Shrivastava, A., Choudhary, S., & Motekar, S. (2025). IoT-based smart waste management system for urban areas. International Journal of Scientific Research in Engineering and Management, 9(7), 1–9. https://doi.org/10.55041/ijsrem51676

 

Shyamala, S. C., Sindhe, K., Muddy, V., & Chitra, C. N. (2016). Smart waste management system. International Journal of Scientific Development and Research, 1(9).

 

Sneha, P., Yuvedha, T., Sneha, S., Sathiyamoorthi, S., & Amudha, P. (2023). Waste management system using IoT. International Journal for Research in Applied Science and Engineering Technology, 11(5), 1427–1430. https://doi.org/10.22214/ijraset.2023.51802

 

Sosunova, I., & Porras, J. (2022). IoT-enabled smart waste management systems for smart cities: A systematic review. IEEE Access, 10, 73326–73363. https://doi.org/10.1109/ACCESS.2022.3188308

 

Tadavi, S. S., Aher, C. V., & Londhe, D. D. (2025). Smart waste management system using IoT and route optimization. International Journal of Scientific Research in Engineering and Management, 9(11), 1–9. https://doi.org/10.55041/ijsrem53532

 

Tee, E. C., Awang, N. F., Zainol, Z., Marzukhi, S., & Jamaludin, N. A. A. (2025). Smart IoT-based waste management system. Zenodo. https://doi.org/10.5281/ZENODO.16788421

 

Utku, A. (2026). From trash to technology: AI-driven waste classification with hybrid CNN-transformer approach for sustainable recycling. Journal of Material Cycles and Waste Management, 28(1), 253–269. https://doi.org/10.1007/s10163-025-02411-4

 

Wafi, M. K., & Chairulfata, M. M. (2026). BINSAI: IoT-based smart waste management system (Version 2.0.0). Zenodo. https://doi.org/10.5281/zenodo.18266982

 

Wang, C., Qin, J., Qu, C., Ran, X., Liu, C., & Chen, B. (2021). A smart municipal waste management system based on deep-learning and Internet of Things. Waste Management, 135, 20–29. https://doi.org/10.1016/j.wasman.2021.08.028

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International Journal of Systematic Innovation, Electronic ISSN: 2077-8767 Print ISSN: 2077-7973, Published by AccScience Publishing