DocumentCode :
2821263
Title :
Sensor deployment for air pollution monitoring using public transportation system
Author :
Yu, James J Q ; Li, Victor O K ; Lam, Albert Y S
Author_Institution :
Dept. of Electr. & Electron. Eng., Univ. of Hong Kong, Hong Kong, China
fYear :
2012
fDate :
10-15 June 2012
Firstpage :
1
Lastpage :
7
Abstract :
Air 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.
Keywords :
air pollution control; chemical reactions; optimisation; sensors; transportation; BSDP; CRO; Hong Kong Island bus route data; air pollution monitoring; bus routes; bus sensor deployment problem; chemical reaction optimization; optimization problems; public transportation system; real world data; Air pollution; Algorithm design and analysis; Chemicals; Containers; Energy states; Monitoring; Optimization; Air pollution; chemical reaction optimization; evolutionary algorithm; public transportation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolutionary Computation (CEC), 2012 IEEE Congress on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1510-4
Electronic_ISBN :
978-1-4673-1508-1
Type :
conf
DOI :
10.1109/CEC.2012.6256495
Filename :
6256495
Link To Document :
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