IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective

<p dir="ltr">Waste management has been identified as a critical problem underpinning the vision of sustainable cities. Despite existing efforts to tackle this challenge, traditional approaches still undermine resource allocation and utilization for the task. Most methods have overloo...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي: Md. Arafatur Rahman (21324404) (author)
مؤلفون آخرون: Sze Wei Tan (21324407) (author), A. Taufiq Asyhari (21324410) (author), Ibnu Febry Kurniawan (21324413) (author), Mohammed J. F. Alenazi (20316513) (author), Mueen Uddin (4903510) (author)
منشور في: 2024
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author Md. Arafatur Rahman (21324404)
author2 Sze Wei Tan (21324407)
A. Taufiq Asyhari (21324410)
Ibnu Febry Kurniawan (21324413)
Mohammed J. F. Alenazi (20316513)
Mueen Uddin (4903510)
author2_role author
author
author
author
author
author_facet Md. Arafatur Rahman (21324404)
Sze Wei Tan (21324407)
A. Taufiq Asyhari (21324410)
Ibnu Febry Kurniawan (21324413)
Mohammed J. F. Alenazi (20316513)
Mueen Uddin (4903510)
author_role author
dc.creator.none.fl_str_mv Md. Arafatur Rahman (21324404)
Sze Wei Tan (21324407)
A. Taufiq Asyhari (21324410)
Ibnu Febry Kurniawan (21324413)
Mohammed J. F. Alenazi (20316513)
Mueen Uddin (4903510)
dc.date.none.fl_str_mv 2024-06-11T03:00:00Z
dc.identifier.none.fl_str_mv 10.1109/access.2024.3412098
dc.relation.none.fl_str_mv https://figshare.com/articles/journal_contribution/IoT-Enabled_Intelligent_Garbage_Management_System_for_Smart_City_A_Fairness_Perspective/29605265
dc.rights.none.fl_str_mv CC BY 4.0
info:eu-repo/semantics/openAccess
dc.subject.none.fl_str_mv Engineering
Communications engineering
Control engineering, mechatronics and robotics
Environmental engineering
Environmental sciences
Environmental management
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Mathematical sciences
Numerical and computational mathematics
Fairness
Garbage collection
IoT
LoRa
Smart city
Waste management
dc.title.none.fl_str_mv IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective
dc.type.none.fl_str_mv Text
Journal contribution
info:eu-repo/semantics/publishedVersion
text
contribution to journal
description <p dir="ltr">Waste management has been identified as a critical problem underpinning the vision of sustainable cities. Despite existing efforts to tackle this challenge, traditional approaches still undermine resource allocation and utilization for the task. Most methods have overlooked the fairness problem found in the garbage-collection transportation units, producing noticeable varying active time differences among the participating units. The integration of Internet of Things (IoT) to waste management has recently been an emerging trend, which offers coordinated garbage collection benefiting from IoT networks. This work investigates utilization of LoRa technology for such a purpose and argues the importance of fairness perspective in actuating the truck agents for collecting the wastes in a given region. Through enabling reliable waste data exchange by a proper design and specification of the LoRa network, we can then cast the collection issue as a capacitated vehicle routing problem with a well-formulated objective function. To improve the fairness in the waste management, we propose an objective function that incorporates both the total distance covered by all the trucks and overall distance dispersion from individual trucks. Numerical simulation demonstrates the superiority and consistency of the fairness-based optimum solution in both minimizing the total distance and achieving the fairness.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" rel="noreferrer noopener" target="_blank">https://creativecommons.org/licenses/by/4.0/</a>  <br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3412098" target="_blank">https://dx.doi.org/10.1109/access.2024.3412098</a></p>
eu_rights_str_mv openAccess
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identifier_str_mv 10.1109/access.2024.3412098
network_acronym_str Manara2
network_name_str Manara2
oai_identifier_str oai:figshare.com:article/29605265
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rights_invalid_str_mv CC BY 4.0
spelling IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness PerspectiveMd. Arafatur Rahman (21324404)Sze Wei Tan (21324407)A. Taufiq Asyhari (21324410)Ibnu Febry Kurniawan (21324413)Mohammed J. F. Alenazi (20316513)Mueen Uddin (4903510)EngineeringCommunications engineeringControl engineering, mechatronics and roboticsEnvironmental engineeringEnvironmental sciencesEnvironmental managementInformation and computing sciencesArtificial intelligenceDistributed computing and systems softwareMathematical sciencesNumerical and computational mathematicsFairnessGarbage collectionIoTLoRaSmart cityWaste management<p dir="ltr">Waste management has been identified as a critical problem underpinning the vision of sustainable cities. Despite existing efforts to tackle this challenge, traditional approaches still undermine resource allocation and utilization for the task. Most methods have overlooked the fairness problem found in the garbage-collection transportation units, producing noticeable varying active time differences among the participating units. The integration of Internet of Things (IoT) to waste management has recently been an emerging trend, which offers coordinated garbage collection benefiting from IoT networks. This work investigates utilization of LoRa technology for such a purpose and argues the importance of fairness perspective in actuating the truck agents for collecting the wastes in a given region. Through enabling reliable waste data exchange by a proper design and specification of the LoRa network, we can then cast the collection issue as a capacitated vehicle routing problem with a well-formulated objective function. To improve the fairness in the waste management, we propose an objective function that incorporates both the total distance covered by all the trucks and overall distance dispersion from individual trucks. Numerical simulation demonstrates the superiority and consistency of the fairness-based optimum solution in both minimizing the total distance and achieving the fairness.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Access<br>License: <a href="https://creativecommons.org/licenses/by/4.0/deed.en" rel="noreferrer noopener" target="_blank">https://creativecommons.org/licenses/by/4.0/</a>  <br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/access.2024.3412098" target="_blank">https://dx.doi.org/10.1109/access.2024.3412098</a></p>2024-06-11T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1109/access.2024.3412098https://figshare.com/articles/journal_contribution/IoT-Enabled_Intelligent_Garbage_Management_System_for_Smart_City_A_Fairness_Perspective/29605265CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/296052652024-06-11T03:00:00Z
spellingShingle IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective
Md. Arafatur Rahman (21324404)
Engineering
Communications engineering
Control engineering, mechatronics and robotics
Environmental engineering
Environmental sciences
Environmental management
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Mathematical sciences
Numerical and computational mathematics
Fairness
Garbage collection
IoT
LoRa
Smart city
Waste management
status_str publishedVersion
title IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective
title_full IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective
title_fullStr IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective
title_full_unstemmed IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective
title_short IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective
title_sort IoT-Enabled Intelligent Garbage Management System for Smart City: A Fairness Perspective
topic Engineering
Communications engineering
Control engineering, mechatronics and robotics
Environmental engineering
Environmental sciences
Environmental management
Information and computing sciences
Artificial intelligence
Distributed computing and systems software
Mathematical sciences
Numerical and computational mathematics
Fairness
Garbage collection
IoT
LoRa
Smart city
Waste management