Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform

Cleon Harada; Yuexin Li; Tingyuan Shao; Zhongyi Wang; Guanghe Sun; Junyue Huang; Zihan Ni; Jiayi Hu; Amira I. Zaki; Karim H. Moussa

doi:10.1109/CIoTSC67482.2025.11413237

Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform

Cleon Harada
, Yuexin Li
, Tingyuan Shao
, Zhongyi Wang
, Guanghe Sun
, Junyue Huang
, Zihan Ni
, Jiayi Hu
, Amira I. Zaki
, Karim H. Moussa^*

^*Corresponding author for this work

Xi'an Jiaotong-Liverpool University
Arab Academy for Science, Technology and Maritime Transport

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Abstract

Addressing the critical logistical and environmental strains of urban waste, this paper introduces a scalable IoT framework for intelligent waste management. We present a low cost, deployable sensor node engineered with an ESP32, integrating ultrasonic fill-level quantification with real-time monitoring of hazardous methane and hydrogen sulfide emissions. This vital data is seamlessly streamed to a cloud platform and rendered on an intuitive web dashboard, enabling a paradigm shift from inefficient, static collection schedules to dynamic, data-driven logistics. Our work demonstrates a cost-effective and replicable model for enhancing municipal operational efficiency and environmental stewardship, laying the groundwork for smarter, more sustainable city ecosystems.

Original language	English
Title of host publication	Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331555221
DOIs	https://doi.org/10.1109/CIoTSC67482.2025.11413237
Publication status	Published - 2025
Event	2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025 - Suzhou, China Duration: 7 Nov 2025 → 9 Nov 2025

Publication series

Name	Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025

Conference

Conference	2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025
Country/Territory	China
City	Suzhou
Period	7/11/25 → 9/11/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

component
ESP32
IoT
Sensor monitoring
Smart waste bin
Waste management
Wi Fi

Access to Document

10.1109/CIoTSC67482.2025.11413237

Cite this

Harada, C., Li, Y., Shao, T., Wang, Z., Sun, G., Huang, J., Ni, Z., Hu, J., Zaki, A. I., & Moussa, K. H. (2025). Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform. In Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025 (Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CIoTSC67482.2025.11413237

Harada, Cleon ; Li, Yuexin ; Shao, Tingyuan et al. / Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform. Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025).

@inproceedings{a04aaf28099645adb766bc3027ebf897,

title = "Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform",

abstract = "Addressing the critical logistical and environmental strains of urban waste, this paper introduces a scalable IoT framework for intelligent waste management. We present a low cost, deployable sensor node engineered with an ESP32, integrating ultrasonic fill-level quantification with real-time monitoring of hazardous methane and hydrogen sulfide emissions. This vital data is seamlessly streamed to a cloud platform and rendered on an intuitive web dashboard, enabling a paradigm shift from inefficient, static collection schedules to dynamic, data-driven logistics. Our work demonstrates a cost-effective and replicable model for enhancing municipal operational efficiency and environmental stewardship, laying the groundwork for smarter, more sustainable city ecosystems.",

keywords = "component, ESP32, IoT, Sensor monitoring, Smart waste bin, Waste management, Wi Fi",

author = "Cleon Harada and Yuexin Li and Tingyuan Shao and Zhongyi Wang and Guanghe Sun and Junyue Huang and Zihan Ni and Jiayi Hu and Zaki, \{Amira I.\} and Moussa, \{Karim H.\}",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025 ; Conference date: 07-11-2025 Through 09-11-2025",

year = "2025",

doi = "10.1109/CIoTSC67482.2025.11413237",

language = "English",

series = "Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025",

}

Harada, C, Li, Y, Shao, T, Wang, Z, Sun, G, Huang, J, Ni, Z, Hu, J, Zaki, AI & Moussa, KH 2025, Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform. in Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025. Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025, Institute of Electrical and Electronics Engineers Inc., 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025, Suzhou, China, 7/11/25. https://doi.org/10.1109/CIoTSC67482.2025.11413237

Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform. / Harada, Cleon; Li, Yuexin; Shao, Tingyuan et al.
Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform

AU - Harada, Cleon

AU - Li, Yuexin

AU - Shao, Tingyuan

AU - Wang, Zhongyi

AU - Sun, Guanghe

AU - Huang, Junyue

AU - Ni, Zihan

AU - Hu, Jiayi

AU - Zaki, Amira I.

AU - Moussa, Karim H.

PY - 2025

Y1 - 2025

N2 - Addressing the critical logistical and environmental strains of urban waste, this paper introduces a scalable IoT framework for intelligent waste management. We present a low cost, deployable sensor node engineered with an ESP32, integrating ultrasonic fill-level quantification with real-time monitoring of hazardous methane and hydrogen sulfide emissions. This vital data is seamlessly streamed to a cloud platform and rendered on an intuitive web dashboard, enabling a paradigm shift from inefficient, static collection schedules to dynamic, data-driven logistics. Our work demonstrates a cost-effective and replicable model for enhancing municipal operational efficiency and environmental stewardship, laying the groundwork for smarter, more sustainable city ecosystems.

AB - Addressing the critical logistical and environmental strains of urban waste, this paper introduces a scalable IoT framework for intelligent waste management. We present a low cost, deployable sensor node engineered with an ESP32, integrating ultrasonic fill-level quantification with real-time monitoring of hazardous methane and hydrogen sulfide emissions. This vital data is seamlessly streamed to a cloud platform and rendered on an intuitive web dashboard, enabling a paradigm shift from inefficient, static collection schedules to dynamic, data-driven logistics. Our work demonstrates a cost-effective and replicable model for enhancing municipal operational efficiency and environmental stewardship, laying the groundwork for smarter, more sustainable city ecosystems.

KW - component

KW - ESP32

KW - IoT

KW - Sensor monitoring

KW - Smart waste bin

KW - Waste management

KW - Wi Fi

UR - https://www.scopus.com/pages/publications/105035160771

U2 - 10.1109/CIoTSC67482.2025.11413237

DO - 10.1109/CIoTSC67482.2025.11413237

M3 - Conference Proceeding

AN - SCOPUS:105035160771

T3 - Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025

BT - Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025

Y2 - 7 November 2025 through 9 November 2025

ER -

Harada C, Li Y, Shao T, Wang Z, Sun G, Huang J et al. Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform. In Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025. Institute of Electrical and Electronics Engineers Inc. 2025. (Proceedings - 2025 International Conference on Computer, Internet of Things and Smart City, CIoTSC 2025). doi: 10.1109/CIoTSC67482.2025.11413237

Optimizing Urban Waste Collection Through a Real-time IoT Monitoring and Visualization Platform

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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