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Urban air pollution alert service for smart cities

Published: 15 October 2018 Publication History

Abstract

With the advent of small, energy-efficient, interconnected and cheap air pollution sensors, communities all over the world have begun to drive forward the expansion of city-wide sensor networks in order to get a holistic picture of the air pollution level that the citizens are exposed to in their daily life. Unfortunately, the resulting insights about the current air quality need to be actively queried by the citizens, leading to situations in which the citizen is exposed to a high air pollution without being aware of it. In this article, we introduce a context-aware air pollution monitoring and alert service that proactively notifies citizens via mobile devices about highly relevant air quality information once they enter an area with an air pollution that exceeds a user-defined threshold. The service continuously determines the concentration of particulate matter throughout a given urban area, detects closed areas with a high air pollution and shares this information with the citizen's mobile devices which are in turn responsible to regularly compare a citizen's position against the areas of poor air quality. As a proof of concept, we prototypically implemented and evaluated the service by means of real world measurements taken on consecutive days within an urban area in New Zealand.

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  • (2024)A Framework for Monitoring Pollution Levels in Smart CitiesNew Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence10.1007/978-3-031-66635-3_14(159-170)Online publication date: 13-Aug-2024
  • (2023)Enhancing Urban Sustainability: Unravelling Carbon Footprint Reduction in Smart Cities through Modern Supply-Chain MeasuresSmart Cities10.3390/smartcities60601436:6(3225-3250)Online publication date: 23-Nov-2023
  • (2023)Using Smartphone Survey and GPS Data to Inform Smoking Cessation Intervention Delivery: Case StudyJMIR mHealth and uHealth10.2196/4399011(e43990)Online publication date: 16-Jun-2023
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cover image ACM Other conferences
IOT '18: Proceedings of the 8th International Conference on the Internet of Things
October 2018
299 pages
ISBN:9781450365642
DOI:10.1145/3277593
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 the author(s) 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: 15 October 2018

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Author Tags

  1. air quality
  2. context-aware computing
  3. geofencing
  4. location-based services
  5. smart city
  6. urban sensing

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IOT '18
IOT '18: 8th International Conference on the Internet of Things
October 15 - 18, 2018
California, Santa Barbara, USA

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Overall Acceptance Rate 28 of 84 submissions, 33%

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Cited By

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  • (2024)A Framework for Monitoring Pollution Levels in Smart CitiesNew Trends in Disruptive Technologies, Tech Ethics, and Artificial Intelligence10.1007/978-3-031-66635-3_14(159-170)Online publication date: 13-Aug-2024
  • (2023)Enhancing Urban Sustainability: Unravelling Carbon Footprint Reduction in Smart Cities through Modern Supply-Chain MeasuresSmart Cities10.3390/smartcities60601436:6(3225-3250)Online publication date: 23-Nov-2023
  • (2023)Using Smartphone Survey and GPS Data to Inform Smoking Cessation Intervention Delivery: Case StudyJMIR mHealth and uHealth10.2196/4399011(e43990)Online publication date: 16-Jun-2023
  • (2023)Integrated IoT-Based Air Quality Monitoring and Prediction System: A Hybrid Approach2023 IEEE International Symposium on Smart Electronic Systems (iSES)10.1109/iSES58672.2023.00099(441-444)Online publication date: 18-Dec-2023
  • (2022)An IoT-Aware Solution to Support Governments in Air Pollution Monitoring Based on the Combination of Real-Time Data and Citizen FeedbackSensors10.3390/s2203100022:3(1000)Online publication date: 27-Jan-2022
  • (2022)An Innovative Decision Support System for Smart Cities Government based on Sentiment Analysis and IoT technologies2022 7th International Conference on Smart and Sustainable Technologies (SpliTech)10.23919/SpliTech55088.2022.9854247(1-6)Online publication date: 5-Jul-2022
  • (2022)The Human-Air Interface: Responding To Poor Air Quality Through Lived Experience and Digital InformationProceedings of the 2022 ACM Designing Interactive Systems Conference10.1145/3532106.3533563(1085-1098)Online publication date: 13-Jun-2022
  • (2022)Fog abetted Early Alert System for Monitoring Air Pollution in Smart Cities2022 International Conference on IoT and Blockchain Technology (ICIBT)10.1109/ICIBT52874.2022.9807818(1-6)Online publication date: 6-May-2022
  • (2022)Air Pollution Comparison RFM Model Using Machine Learning Approach2022 IEEE 7th International conference for Convergence in Technology (I2CT)10.1109/I2CT54291.2022.9824248(1-5)Online publication date: 7-Apr-2022
  • (2022)Systematic literature review of context-awareness applications supported by smart cities’ infrastructuresSN Applied Sciences10.1007/s42452-022-04979-04:4Online publication date: 2-Mar-2022
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