IoT Tracking and Dispatching System of Medical Waste Disposal

Medical waste management is a growing concern in Kazakhstan. Despite the presence of a regulatory framework, the current medical waste disposal system suffers from fragmentation, lack of transparency, and inefficient communication between stakeholders. These limitations result in illegal dumping, environmental pollution, and increased health risks. This paper presents the development and validation of an integrated Internet of Things (IoT)-based system designed to optimize and automate the monitoring, collection, and disposal of medical waste. The proposed architecture includes Global Positioning System (GPS) tracking, real-time sensor monitoring, cloud data analytics, and predictive routing algorithms, enabling efficient logistics and regulatory compliance. Utilizing a microcontroller and sensors, the system continuously transmits data to a centralized server for monitoring. Experimental deployments across urban and suburban routes in the Zhambyl region demonstrate that the system achieves a Circular Error Probable (CEP50) of 11 m and a 95% positioning accuracy within 23 m, which aligns acceptably with the requirements for city-level route optimization. Statistical analysis confirms that the observed positioning accuracy is consistent with an urban propagation model and adequate for municipal dispatching, though it remains below automotive-grade precision. The system is further supported by a robust power supply solution, allowing up to 49 h of autonomous operation.

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Publication Details

Journal
Applied Sciences
Published
2025-11-11
DOI
https://doi.org/10.3390/app152211982
Citations
1
Primary Topic
Healthcare and Environmental Waste Management
Type
article
Field-Weighted Citation Impact
1.88
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article

IoT Tracking and Dispatching System of Medical Waste Disposal

Zhanar Oralbekova, Mars Akishev, Ainur Abduvalova, Shynar Akhmetzhanova et al.
1 citations
Applied Sciences
Healthcare and Environmental Waste Management
1.88
article

IoT Tracking and Dispatching System of Medical Waste Disposal

Zhanar Oralbekova, Mars Akishev, Ainur Abduvalova, Shynar Akhmetzhanova, Praveen Kumar, Tamara Yeshmakhanova, Anuar Bayakhmetov
article en
1 citations

Abstract

Medical waste management is a growing concern in Kazakhstan. Despite the presence of a regulatory framework, the current medical waste disposal system suffers from fragmentation, lack of transparency, and inefficient communication between stakeholders. These limitations result in illegal dumping, environmental pollution, and increased health risks. This paper presents the development and validation of an integrated Internet of Things (IoT)-based system designed to optimize and automate the monitoring, collection, and disposal of medical waste. The proposed architecture includes Global Positioning System (GPS) tracking, real-time sensor monitoring, cloud data analytics, and predictive routing algorithms, enabling efficient logistics and regulatory compliance. Utilizing a microcontroller and sensors, the system continuously transmits data to a centralized server for monitoring. Experimental deployments across urban and suburban routes in the Zhambyl region demonstrate that the system achieves a Circular Error Probable (CEP50) of 11 m and a 95% positioning accuracy within 23 m, which aligns acceptably with the requirements for city-level route optimization. Statistical analysis confirms that the observed positioning accuracy is consistent with an urban propagation model and adequate for municipal dispatching, though it remains below automotive-grade precision. The system is further supported by a robust power supply solution, allowing up to 49 h of autonomous operation.

Applied SciencesVol. 15(22)
M. Kh Dulati Taraz State University (KZ), Astana Medical University (KZ), Rice University (US)
Openalex Percentile: Top 11%
Healthcare and Environmental Waste Management
1.88
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IoT Tracking and Dispatching System of Medical Waste Disposal — Zhanar Oralbekova, Mars Akishev, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS