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SWAM: A Novel Smart Waste Management Approach for Businesses using IoT

Authors:

Sébastien Faye,

Foued Melakessou,

Wassila Mtalaa,

Neamah AlNaffakh,

Djamel KhadraouiAuthors Info & Claims

TESCA'19: Proceedings of the 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities

Pages 38 - 45

https://doi.org/10.1145/3364544.3364824

Published: 13 November 2019 Publication History

Abstract

The waste recycling industry has grown considerably in the recent years and many solutions have become democratized around smart waste collection. However, existing decision support systems generally rely on a limited flow of information and offer an often static or statistically based approach, focusing on specific use-cases (e.g., individuals, municipalities). This paper introduces SWAM, a new smart waste collection platform currently being elaborated in Luxembourg that targets businesses and large entities (e.g., restaurants, shopping centers). SWAM aims to consider multiple sources of combined information in its decision-making process and go further in the routing optimization process. The platform notably uses ultrasonic sensors to measure the filling level of containers, and smartphones with embedded intelligence to understand a driver's actions. This paper presents our experience on the development and deployment of this platform in Luxembourg, as well as the relevant options on the choice of sensing and communication technologies available in the market. It also presents the system architecture and two fundamental components. Firstly, a data management layer, which implements models for analyzing and predicting the filling patterns of the containers. Secondly, a multi-objective optimization layer, which compiles the collection routes that minimize the impact on the environment and maximize the service quality. This paper is intended to serve as a practical reference for the deployment of waste management systems, which have many technological components and can greatly fluctuate depending on the use cases to be covered.

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Digital Library

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Cited By

Zeng FPang CTang H(2024)Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature ReviewSensors10.3390/s2407207424:7(2074)Online publication date: 24-Mar-2024
https://doi.org/10.3390/s24072074
Ayari ENasri SAggoune-Mtalaa WBouziri H(2023)Learning routes within an intelligent on demand transport service2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA59173.2023.10479296(1-7)Online publication date: 4-Dec-2023
https://doi.org/10.1109/AICCSA59173.2023.10479296
Ojo-Gonzalez KBonilla-Morales BVargas-Lombardo M(2023)Software Quality in the IOT in Health Sector and Commerce SectorAdvanced Research in Technologies, Information, Innovation and Sustainability10.1007/978-3-031-48858-0_2(14-25)Online publication date: 20-Dec-2023
https://doi.org/10.1007/978-3-031-48858-0_2
Show More Cited By

Index Terms

SWAM: A Novel Smart Waste Management Approach for Businesses using IoT

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cover image ACM Other conferences

TESCA'19: Proceedings of the 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities

November 2019

68 pages

ISBN:9781450370158

DOI:10.1145/3364544

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2019

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Fonds National de la Recherche Luxembourg

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BuildSys '19

Sponsor:

SIGEnergy

BuildSys '19: The 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation

November 13 - 14, 2019

NY, New York, USA

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Cited By

Zeng FPang CTang H(2024)Sensors on Internet of Things Systems for the Sustainable Development of Smart Cities: A Systematic Literature ReviewSensors10.3390/s2407207424:7(2074)Online publication date: 24-Mar-2024
https://doi.org/10.3390/s24072074
Ayari ENasri SAggoune-Mtalaa WBouziri H(2023)Learning routes within an intelligent on demand transport service2023 20th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA)10.1109/AICCSA59173.2023.10479296(1-7)Online publication date: 4-Dec-2023
https://doi.org/10.1109/AICCSA59173.2023.10479296
Ojo-Gonzalez KBonilla-Morales BVargas-Lombardo M(2023)Software Quality in the IOT in Health Sector and Commerce SectorAdvanced Research in Technologies, Information, Innovation and Sustainability10.1007/978-3-031-48858-0_2(14-25)Online publication date: 20-Dec-2023
https://doi.org/10.1007/978-3-031-48858-0_2
Sosunova IPorras J(2022)IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic ReviewIEEE Access10.1109/ACCESS.2022.318830810(73326-73363)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3188308
Naushin MSaraswat AAbhishek K(2022)Deep Learning Approach to Deal with E-WasteAdvanced Machine Intelligence and Signal Processing10.1007/978-981-19-0840-8_9(123-136)Online publication date: 26-Jun-2022
https://doi.org/10.1007/978-981-19-0840-8_9
Bazrbachi ASidique SAdam S(2022)Smart Technology and Waste Management, a Review on Current and Potential Applications in MalaysiaExplore Business, Technology Opportunities and Challenges ‎After the Covid-19 Pandemic10.1007/978-3-031-08954-1_93(1105-1117)Online publication date: 13-Jul-2022
https://doi.org/10.1007/978-3-031-08954-1_93
Likotiko EMisaki SMatsuda YYasumoto K(2021)SGBS: A novel smart garbage bin system for understanding household garbage disposal behaviour2021 Thirteenth International Conference on Mobile Computing and Ubiquitous Network (ICMU)10.23919/ICMU50196.2021.9638956(1-8)Online publication date: 17-Nov-2021
https://doi.org/10.23919/ICMU50196.2021.9638956
Melakessou FKugener PAlnaffakh NFaye SKhadraoui D(2020)Heterogeneous Sensing Data Analysis for Commercial Waste CollectionSensors10.3390/s2004097820:4(978)Online publication date: 12-Feb-2020
https://doi.org/10.3390/s20040978

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