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Article: Optimal Citizen-Centric Sensor Placement for Air Quality Monitoring: A Case Study of City of Cambridge, the United Kingdom

TitleOptimal Citizen-Centric Sensor Placement for Air Quality Monitoring: A Case Study of City of Cambridge, the United Kingdom
Authors
KeywordsAir pollution
Citizen-centric
Design methodology
Human factors
Optimization
Issue Date2019
PublisherInstitute of Electrical and Electronics Engineers (IEEE): OAJ. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6287639
Citation
IEEE Access, 2019, v. 7, p. 47390-47400 How to Cite?
AbstractAir quality monitoring plays an increasingly important role in providing accurate air pollution data for assessing the impacts of air pollution on public health. Development of proper sensor networks, by deploying the right air pollution sensors at the right place, in order to meet the needs of different groups in the city and provide the much needed public services, deserves careful attention, especially when smart city development is being considered. However, air quality monitoring can be a costly measure. To tackle such a challenge, air pollution sensor placement can be carefully designed to achieve certain optimal citizen-centric objectives in the absence of field information, which can be formulated as an optimal sensor placement problem. In this paper, we propose three citizen-centric objectives for the optimal sensor placement problem, which does not require the prior deployment of pollution sensors for obtaining any field information. By citizen-centric, we mean that sensor placement puts the citizens' welfare at the center of attention and be able to fulfill the following objectives: 1) better assessing the vulnerable people's exposure to air pollution; 2) maximizing overall satisfaction of obtaining public information on existing air quality; and 3) better monitoring traffic emissions. We formulate the optimization problem for each scenario and propose an effective method to solve the problem accordingly. Last but not least, we conduct a case study in the city of Cambridge to evaluate the feasibility and effectiveness of our proposed methods. Our case study has shown that in order to optimize our citizen-centric objectives, there is a need to re-orient the current sensor placement strategies in the city of Cambridge, U.K. © 2013 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/275008
ISSN
2017 Impact Factor: 3.557
2015 SCImago Journal Rankings: 0.947
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSun, C-
dc.contributor.authorLi, VOK-
dc.contributor.authorLam, JCK-
dc.contributor.authorLeslie, I-
dc.date.accessioned2019-09-10T02:33:33Z-
dc.date.available2019-09-10T02:33:33Z-
dc.date.issued2019-
dc.identifier.citationIEEE Access, 2019, v. 7, p. 47390-47400-
dc.identifier.issn2169-3536-
dc.identifier.urihttp://hdl.handle.net/10722/275008-
dc.description.abstractAir quality monitoring plays an increasingly important role in providing accurate air pollution data for assessing the impacts of air pollution on public health. Development of proper sensor networks, by deploying the right air pollution sensors at the right place, in order to meet the needs of different groups in the city and provide the much needed public services, deserves careful attention, especially when smart city development is being considered. However, air quality monitoring can be a costly measure. To tackle such a challenge, air pollution sensor placement can be carefully designed to achieve certain optimal citizen-centric objectives in the absence of field information, which can be formulated as an optimal sensor placement problem. In this paper, we propose three citizen-centric objectives for the optimal sensor placement problem, which does not require the prior deployment of pollution sensors for obtaining any field information. By citizen-centric, we mean that sensor placement puts the citizens' welfare at the center of attention and be able to fulfill the following objectives: 1) better assessing the vulnerable people's exposure to air pollution; 2) maximizing overall satisfaction of obtaining public information on existing air quality; and 3) better monitoring traffic emissions. We formulate the optimization problem for each scenario and propose an effective method to solve the problem accordingly. Last but not least, we conduct a case study in the city of Cambridge to evaluate the feasibility and effectiveness of our proposed methods. Our case study has shown that in order to optimize our citizen-centric objectives, there is a need to re-orient the current sensor placement strategies in the city of Cambridge, U.K. © 2013 IEEE.-
dc.languageeng-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE): OAJ. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6287639-
dc.relation.ispartofIEEE Access-
dc.rightsIEEE Access. Copyright © Institute of Electrical and Electronics Engineers (IEEE): OAJ.-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectAir pollution-
dc.subjectCitizen-centric-
dc.subjectDesign methodology-
dc.subjectHuman factors-
dc.subjectOptimization-
dc.titleOptimal Citizen-Centric Sensor Placement for Air Quality Monitoring: A Case Study of City of Cambridge, the United Kingdom-
dc.typeArticle-
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.emailLam, JCK: h9992013@hkucc.hku.hk-
dc.identifier.authorityLi, VOK=rp00150-
dc.identifier.authorityLam, JCK=rp00864-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ACCESS.2019.2909111-
dc.identifier.scopuseid_2-s2.0-85065082668-
dc.identifier.hkuros302911-
dc.identifier.volume7-
dc.identifier.spage47390-
dc.identifier.epage47400-
dc.identifier.isiWOS:000466504700001-
dc.publisher.placeUnited States-

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