Robust pollution source parameter identification based on the artificial bee colony algorithm using...
Robust pollution source parameter identification based on the artificial bee colony algorithm using a wireless sensor network
About this item
Full title
Author / Creator
Cao, MengLi and Hu, Xiong
Publisher
United States: Public Library of Science
Journal title
Language
English
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Publication information
Publisher
United States: Public Library of Science
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More information
Scope and Contents
Contents
Pollution source parameter identification (PSPI) is significant for pollution control, since it can provide important information and save a lot of time for subsequent pollution elimination works. For solving the PSPI problem, a large number of pollution sensor nodes can be rapidly deployed to cover a large area and form a wireless sensor network (...
Alternative Titles
Full title
Robust pollution source parameter identification based on the artificial bee colony algorithm using a wireless sensor network
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_plos_journals_2403301312
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2403301312
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0232843
