A Monte Carlo localization method based on differential evolution optimization applied into economic...
A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks
About this item
Full title
Author / Creator
Qin, Miao and Zhu, Rongbo
Publisher
Cham: Springer International Publishing
Journal title
Language
English
Formats
Publication information
Publisher
Cham: Springer International Publishing
Subjects
More information
Scope and Contents
Contents
The localization of sensor node is an essential problem for many economic forecasting applications in wireless sensor networks. Considering that the mobile sensors change their locations frequently over time, Monte Carlo localization algorithm utilizes the moving characteristics of nodes and employs the probability distribution function (PDF) in th...
Alternative Titles
Full title
A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks
Authors, Artists and Contributors
Author / Creator
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Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_38ccd2c2b72845368dea12d5ff594936
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_38ccd2c2b72845368dea12d5ff594936
Other Identifiers
ISSN
1687-1499
E-ISSN
1687-1499
DOI
10.1186/s13638-018-1037-1
