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Dynamic Polling Algorithm for Low Energy Garbage Level Measurement in Smart Trash Bin

Published: 24 May 2016 Publication History

Abstract

Introducing dynamic routing in a municipal waste collection using smart trash bin has been proven in cutting trash collection cost effectively. However, ordinary smart trash bin works by measuring the volume of trash with a static time interval which causes high power consumption and short battery life. This paper proposes a trash level measurement polling algorithm to cut the power consumption of the smart trash bin by dynamically adapting the time interval for measurement. This algorithm works by analyzing past data to determine the time when trash level would reach the threshold. Experiments have been conducted to identify an actual trash level fluctuation behaviour. From the experiment results, we confirmed that our proposed algorithm can be implemented in actual smart trash bin system. We also confirmed that a power consumption can be reduced up to 81% compared to common static algorithm.

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  • (2024)Mini Prototype of the Futuristic Bin with an Automatic Waste Sortation System for Managing the Garbage Problems in Society2024 10th International Conference on Wireless and Telematics (ICWT)10.1109/ICWT62080.2024.10674711(1-6)Online publication date: 4-Jul-2024
  • (2023)Smart and Sustainable CitiesManagement, Technology, and Economic Growth in Smart and Sustainable Cities10.4018/979-8-3693-0373-3.ch001(1-18)Online publication date: 24-Oct-2023
  • (2022)IoT-Enabled Smart Waste Management Systems for Smart Cities: A Systematic ReviewIEEE Access10.1109/ACCESS.2022.318830810(73326-73363)Online publication date: 2022
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Urb-IoT '16: Proceedings of the Second International Conference on IoT in Urban Space
May 2016
122 pages
ISBN:9781450342049
DOI:10.1145/2962735
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: 24 May 2016

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Author Tags

  1. Low Energy
  2. Municipal Waste Management
  3. Smart City
  4. Smart Trash Bin

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View all
  • (2024)Mini Prototype of the Futuristic Bin with an Automatic Waste Sortation System for Managing the Garbage Problems in Society2024 10th International Conference on Wireless and Telematics (ICWT)10.1109/ICWT62080.2024.10674711(1-6)Online publication date: 4-Jul-2024
  • (2023)Smart and Sustainable CitiesManagement, Technology, and Economic Growth in Smart and Sustainable Cities10.4018/979-8-3693-0373-3.ch001(1-18)Online publication date: 24-Oct-2023
  • (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)Adaptation behaviour in using one-stop smart governance apps: an exploratory study between digital immigrants and digital nativesElectronic Markets10.1007/s12525-022-00538-yOnline publication date: 19-Apr-2022
  • (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
  • (2020)A Smart Waste Management Solution Geared towards CitizensSensors10.3390/s2008238020:8(2380)Online publication date: 22-Apr-2020
  • (2020)Blockchain-based Incentive System for Public Trash Bin2020 IEEE 9th Global Conference on Consumer Electronics (GCCE)10.1109/GCCE50665.2020.9291925(168-172)Online publication date: 13-Oct-2020
  • (2020)Optimal Route Recommendation for Waste Carrier Vehicles for Efficient Waste Collection: A Step Forward Towards Sustainable CitiesIEEE Access10.1109/ACCESS.2020.29881738(77875-77887)Online publication date: 2020
  • (2019)Adaptive Low-Power Wireless Sensor Network Architecture for Smart Street Furniture-based Crowd and Environmental Measurements2019 IEEE 20th International Symposium on "A World of Wireless, Mobile and Multimedia Networks" (WoWMoM)10.1109/WoWMoM.2019.8793006(1-9)Online publication date: Jun-2019
  • (2019)The Current and Future Role of Smart Street Furniture in Smart CitiesIEEE Communications Magazine10.1109/MCOM.2019.180097957:6(68-73)Online publication date: Jun-2019

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