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Conference Paper: Sensor deployment for air pollution monitoring using public transportation system

TitleSensor deployment for air pollution monitoring using public transportation system
Authors
Yu, JJQLi, VOKLam, AYS
KeywordsAir pollution
Public transportation
Evolutionary algorithm
Chemical reaction optimization
Air pollution monitoring
Issue Date2012
PublisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284
Citation
The 2012 IEEE Congress on Evolutionary Computation (CEC 2012), Brisbane, Australia, 10-15 June 2012. In IEEE CEC Proceedings, 2012, p. 1-7 How to Cite?
DOI: http://dx.doi.org/10.1109/CEC.2012.6256495
AbstractAir pollution monitoring is a very popular research topic and many monitoring systems have been developed. In this paper, we formulate the Bus Sensor Deployment Problem (BSDP) to select the bus routes on which sensors are deployed, and we use Chemical Reaction Optimization (CRO) to solve BSDP. CRO is a recently proposed metaheuristic designed to solve a wide range of optimization problems. Using the real world data, namely Hong Kong Island bus route data, we perform a series of simulations and the results show that CRO is capable of solving this optimization problem efficiently. © 2012 IEEE.
DescriptionIEEE World Congress on Computational Intelligence (WCCI 2012), Brisbane, Australia, 10-15 June 2012 hosted three conferences: the 2012 International Joint Conference on Neural Networks (IJCNN 2012), the 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), and the 2012 IEEE Congress on Evolutionary Computation (IEEE CEC 2012)
Persistent Identifierhttp://hdl.handle.net/10722/165306
ISBN
978-1-4673-1509-8

 

DC FieldValueLanguage
dc.contributor.authorYu, JJQen_US
dc.contributor.authorLi, VOKen_US
dc.contributor.authorLam, AYSen_US
dc.date.accessioned2012-09-20T08:16:52Z-
dc.date.available2012-09-20T08:16:52Z-
dc.date.issued2012en_US
dc.identifier.citationThe 2012 IEEE Congress on Evolutionary Computation (CEC 2012), Brisbane, Australia, 10-15 June 2012. In IEEE CEC Proceedings, 2012, p. 1-7en_US
dc.identifier.isbn978-1-4673-1509-8-
dc.identifier.urihttp://hdl.handle.net/10722/165306-
dc.descriptionIEEE World Congress on Computational Intelligence (WCCI 2012), Brisbane, Australia, 10-15 June 2012 hosted three conferences: the 2012 International Joint Conference on Neural Networks (IJCNN 2012), the 2012 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), and the 2012 IEEE Congress on Evolutionary Computation (IEEE CEC 2012)-
dc.description.abstractAir pollution monitoring is a very popular research topic and many monitoring systems have been developed. In this paper, we formulate the Bus Sensor Deployment Problem (BSDP) to select the bus routes on which sensors are deployed, and we use Chemical Reaction Optimization (CRO) to solve BSDP. CRO is a recently proposed metaheuristic designed to solve a wide range of optimization problems. Using the real world data, namely Hong Kong Island bus route data, we perform a series of simulations and the results show that CRO is capable of solving this optimization problem efficiently. © 2012 IEEE.-
dc.languageengen_US
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284-
dc.relation.ispartofIEEE Congress on Evolutionary Computationen_US
dc.subjectAir pollution-
dc.subjectPublic transportation-
dc.subjectEvolutionary algorithm-
dc.subjectChemical reaction optimization-
dc.subjectAir pollution monitoring-
dc.titleSensor deployment for air pollution monitoring using public transportation systemen_US
dc.typeConference_Paperen_US
dc.identifier.emailYu, JJQ: jqyu@eee.hku.hken_US
dc.identifier.emailLi, VOK: vli@eee.hku.hk-
dc.identifier.emailLam, AYS: ayslam@eee.hku.hk-
dc.identifier.authorityLi, VOK=rp00150en_US
dc.identifier.authorityLam, AYS=rp02083-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/CEC.2012.6256495-
dc.identifier.scopuseid_2-s2.0-84866839774-
dc.identifier.hkuros210467en_US
dc.identifier.spage1-
dc.identifier.epage7-
dc.publisher.placeUnited States-
dc.customcontrol.immutablesml 130508 ; sml 160909 - merged-

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