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

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TitleSensor deployment for air pollution monitoring using public transportation system
AuthorsYu, JJQ
Li, VOK
Lam, AYS2
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
CitationThe 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?]
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)
ISBN978-1-4673-1509-8
DC Field
Value
dc.contributor.authorYu, JJQ
dc.contributor.authorLi, VOK
dc.contributor.authorLam, AYS
dc.date.accessioned2012-09-20T08:16:52Z
dc.date.available2012-09-20T08:16:52Z
dc.date.issued2012
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.description.naturepublished_or_final_version
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.identifier.citationThe 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?]
dc.identifier.epage7
dc.identifier.hkuros210467
dc.identifier.isbn978-1-4673-1509-8
dc.identifier.scopuseid_2-s2.0-84866839774
dc.identifier.spage1
dc.identifier.urihttp://hdl.handle.net/10722/165306
dc.languageeng
dc.publisherIEEE. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000284
dc.publisher.placeUnited States
dc.relation.ispartofCongress on Evolutionary Computation Proceedings
dc.rightsCongress on Evolutionary Computation Proceedings. Copyright © IEEE.
dc.rights©2012 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License
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 system
dc.typeConference_Paper
Author Affiliations
  1. The University of Hong Kong
  2. UC Berkeley