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A Cloud-based Dynamic Waste Management System for Smart Cities

Published: 18 November 2016 Publication History

Abstract

A smart city is a vision to adopt multiple information and communication technology (ICT) solutions in the management of public affairs. Waste management problem is acute in the cities and urban areas now a days. Number of trucks roaming around, collecting waste at any time, excessive manpower requirement and inefficient monitoring are some of the difficulties we face with the conventional waste collection approach. The purpose of our work is to introduce a smart and intelligent waste management system that is able to handle the process dynamically and cost effectively. In our approach weight and volume of waste thrown in the waste bins are collected by economical sensors and then sent to cloud server using a micro-controller and GPRS. This data is used to find the waste collection schedule to maximize the collection. Location of vehicles and waste bins are used to find the shortest possible collection route for each truck which is implemented by Ant Colony Optimization(ACO) technique. The system is adaptable to dynamic changes i.e. routes blocked during waste collection process. The whole process can be monitored centrally and thus provide a high quality service to the citizens of a smart city.

References

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L. Bianchi, L. M. Gambardella, and M. Dorigo. An ant colony optimization approach to the probabilistic traveling salesman problem. 2002.
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M. Hannan, M. Arebey, R. Begun, and H. Basri. Radio frequency identification (rfid) and communication technologies for solid waste bin and truck monitoring system. In Waste Management, pages 2406--2413, 2011.
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M. A. Hannan, M. Arebey, H. Basri, and R. A. Begum. Intelligent solid waste bin monitoring and management system. Australian Journal of Basic and Applied Sciences, pages 5314--5319, 2010.
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N. V. karadimas, K. Papatzelou, and V. Lomous. Optimal solid waste collection routes identified by the ant colony system algorithm. Waste Management and Research, pages 139--147, 2007.
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C. K. M. Lee and T. Wu. Design and development waste management system in hong kong. In Industrial Engineering and Engineering Management (IEEM), 2014 IEEE International Conference on. IEEE, 2014.
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I. von Poser and A. Awad. Optimal routing for solid waste collection in cities by using real genetic algorithm, 2006.
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Wikipedia. Smart city --- Wikipedia, the free encyclopedia. https://en.wikipedia.org/wiki/Smart_city, 2016. {Online; accessed on 27-August-2016}.

Cited By

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  • (2024)A sustainable smart IoT-based solid waste management systemFuture Generation Computer Systems10.1016/j.future.2024.03.056157(587-602)Online publication date: Aug-2024
  • (2024)Smart e-waste management: a revolutionary incentive-driven IoT solution with LPWAN and edge-AI integration for environmental sustainabilityEnvironmental Monitoring and Assessment10.1007/s10661-024-12854-1196:8Online publication date: 10-Jul-2024
  • (2023)Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of ThingsSensors10.3390/s2306307023:6(3070)Online publication date: 13-Mar-2023
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cover image ACM Other conferences
ACM DEV '16: Proceedings of the 7th Annual Symposium on Computing for Development
November 2016
265 pages
ISBN:9781450346498
DOI:10.1145/3001913
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 November 2016

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Author Tags

  1. Ant Colony Optimization
  2. Smart City
  3. Waste Management

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  • Research
  • Refereed limited

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ACM DEV '16

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Overall Acceptance Rate 52 of 164 submissions, 32%

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Cited By

View all
  • (2024)A sustainable smart IoT-based solid waste management systemFuture Generation Computer Systems10.1016/j.future.2024.03.056157(587-602)Online publication date: Aug-2024
  • (2024)Smart e-waste management: a revolutionary incentive-driven IoT solution with LPWAN and edge-AI integration for environmental sustainabilityEnvironmental Monitoring and Assessment10.1007/s10661-024-12854-1196:8Online publication date: 10-Jul-2024
  • (2023)Building the Bridge to a Participatory Citizenship: Curricular Integration of Communal Environmental Issues in School Projects Supported by the Internet of ThingsSensors10.3390/s2306307023:6(3070)Online publication date: 13-Mar-2023
  • (2023)Real-Time Image-Based Automotive Sensing: A Practice on Fine-Grained Garbage DisposalProceedings of the 13th International Conference on the Internet of Things10.1145/3627050.3627058(138-145)Online publication date: 7-Nov-2023
  • (2023)A Systematic Review of Waste Management Solutions Using Machine Learning, Internet of Things and Blockchain Technologies: State-of-Art, Methodologies, and ChallengesArchives of Computational Methods in Engineering10.1007/s11831-023-10008-z31:3(1255-1276)Online publication date: 20-Oct-2023
  • (2022)Making Cities Smarter—Optimization Problems for the IoT Enabled Smart City Development: A Mapping of Applications, Objectives, ConstraintsSensors10.3390/s2212438022:12(4380)Online publication date: 9-Jun-2022
  • (2022)Dynamic Waste Collection Model for Smart Bins In Smart Cities2022 International Conference on Engineering and Emerging Technologies (ICEET)10.1109/ICEET56468.2022.10007426(1-4)Online publication date: 27-Oct-2022
  • (2022)IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic ReviewIEEE Access10.1109/ACCESS.2022.318830810(73326-73363)Online publication date: 2022
  • (2022)Blockchain-based system for tracking and rewarding recyclable plastic wastePeer-to-Peer Networking and Applications10.1007/s12083-022-01413-516:1(328-346)Online publication date: 17-Nov-2022
  • (2022)Smart E-waste Management in China: A ReviewCongress on Intelligent Systems10.1007/978-981-16-9113-3_38(515-533)Online publication date: 1-Jul-2022
  • Show More Cited By

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