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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM68566
Volume:
10 |
10 |
Oct 2026
Pages:
1-7
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Mechanical Engineering
Sanjay Bhokare Group Of Institutes, Miraj
Mechanical Engineering
Sanjay Bhokare Group Of Institutes, Miraj
Mechanical Engineering
Sanjay Bhokare Group Of Institutes, Miraj
Mechanical Engineering
Sanjay Bhokare Group Of Institutes, Miraj
Mechanical Engineering
Sanjay Bhokare Group Of Institutes, Miraj
Mechanical Engineering
Sanjay Bhokare Group Of Institutes, Miraj
Mechanical Engineering
Sanjay Bhokare Group Of Institutes, Miraj
Rapid urbanization, population growth and changing consumption patterns have increased the quantity of solid waste generated every day. Conventional collection relies on fixed schedules and manual inspection, which leads to overflowing bins, unpleasant odors, wasted fuel and labor, and unhygienic surroundings. The Internet of Things (IoT) offers a practical alternative: a dustbin fitted with a sensor, a microcontroller and a communication module becomes a data-generating node that reports its own fill level. This paper surveys recent work on IoT-based smart garbage bins, with emphasis on five representative studies published between 2017 and 2024. The surveyed systems are compared on four dimensions: level-sensing method, controller, communication technology and cloud or application layer. The review shows that ultrasonic distance sensing, Arduino or ESP8266-class controllers and free cloud dashboards such as Thing Speak form the most common low-cost design, while GSM/GPRS, GPS and mobile applications are added for city-scale deployment. Two gaps are identified: limited attention to the mechanical support structure, and dependence on the network for alerting. A low-cost reference prototype based on an ultrasonic sensor, Node MCU (ESP8266), red LED, buzzer, 16×2 LCD and Thing Speak, mounted on a metal frame, is described as a design that addresses these gaps, together with a proposed evaluation plan. Open challenges and future directions are also discussed.
KEYWORDS
This survey reviewed five studies on IoT-based garbage monitoring and found a consistent design pattern: ultrasonic level sensing, a low-cost Arduino or ESP8266-class controller, wireless communication and a cloud dashboard. All the reviewed work reports that level-based collection reduces overflow, labour, time and fuel compared with fixed schedules. The review also showed that mechanical design and network-independent local alerting receive limited attention. A low-cost reference prototype using an ultrasonic sensor, NodeMCU, red LED, buzzer, 16×2 LCD and ThingSpeak on a metal frame was described to address these gaps, along with a plan for evaluating sensor accuracy, alert response time and data-update performance. Such systems are a simple, practical step towards cleaner, healthier surroundings and the wider smart-city and cleanliness goals of the country.
[1] L. Paul, R. D. Mohalder and K. M. Alam, “An IoT based smart waste management system for the municipality or city corporations,” arXiv, 2024. [Online]. Available: https://arxiv.org/abs/2411.09710 [2] S. Tashi, K. Tenzin, K. Tashi, K. Galay and M. Chhetri, “IoT garbage monitoring system,” Zorig Melong: A Technical Journal of Science, Engineering and Technology, vol. 5, no. 1, pp. 42–46, 2021. doi: 10.17102/zmv5.i1.008 [3] T. Bhuvaneswari, J. Hossen, N. A. Hamzah, P. Velrajkumar and O. H. Jack, “Internet of things (IoT) based smart garbage monitoring system,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 20, no. 2, pp. 736–743, 2020. doi: 10.11591/ijeecs.v20.i2.pp736-743 [4] U. M. Rishan, “IoT based smart garbage and waste collection bins,” presented at the 8th Int. Symp. on Innovative Multidisciplinary Research for Green Development, South Eastern University of Sri Lanka, Oluvil, Sri Lanka, 2018. [Online]. Available: http://ir.lib.seu.ac.lk/handle/123456789/3524 [5] M. R. Mustafa and K. N. F. Ku Azir, “Smart bin: Internet-of-Things garbage monitoring system,” MATEC Web of Conferences, vol. 140, Art. no. 01030, 2017. doi: 10.1051/matecconf/201714001030
Publication Date
10/31/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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