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Waste Management System Using IoT-Based Machine Learning in University
Joint Authors
Nguyen, Hoang Nam
Anh Khoa, Tran
Phuc, Cao Hoang
Lam, Pham Duc
Nhu, Le Mai Bao
Trong, Nguyen Minh
Phuong, Nguyen Thi Hoang
Dung, Nguyen Van
Tan-Y, Nguyen
Duc, Dang Ngoc Minh
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-27
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Information Technology and Computer Science
Abstract EN
Along with the development of the Internet of Things (IoT), waste management has appeared as a serious issue.
Waste management is a daily task in urban areas, which requires a large amount of labour resources and affects natural, budgetary, efficiency, and social aspects.
Many approaches have been proposed to optimize waste management, such as using the nearest neighbour search, colony optimization, genetic algorithm, and particle swarm optimization methods.
However, the results are still too vague and cannot be applied in real systems, such as in universities or cities.
Recently, there has been a trend of combining optimal waste management strategies with low-cost IoT architectures.
In this paper, we propose a novel method that vigorously and efficiently achieves waste management by predicting the probability of the waste level in trash bins.
By using machine learning and graph theory, the system can optimize the collection of waste with the shortest path.
This article presents an investigation case implemented at the real campus of Ton Duc Thang University (Vietnam) to evaluate the performance and practicability of the system’s implementation.
We examine data transfer on the LoRa module and demonstrate the advantages of the proposed system, which is implemented through a simple circuit designed with low cost, ease of use, and replace ability.
Our system saves time by finding the best route in the management of waste collection.
American Psychological Association (APA)
Anh Khoa, Tran& Phuc, Cao Hoang& Lam, Pham Duc& Nhu, Le Mai Bao& Trong, Nguyen Minh& Phuong, Nguyen Thi Hoang…[et al.]. 2020. Waste Management System Using IoT-Based Machine Learning in University. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1214454
Modern Language Association (MLA)
Anh Khoa, Tran…[et al.]. Waste Management System Using IoT-Based Machine Learning in University. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1214454
American Medical Association (AMA)
Anh Khoa, Tran& Phuc, Cao Hoang& Lam, Pham Duc& Nhu, Le Mai Bao& Trong, Nguyen Minh& Phuong, Nguyen Thi Hoang…[et al.]. Waste Management System Using IoT-Based Machine Learning in University. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1214454
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214454