A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks

A Monte Carlo localization method based on differential evolution optimization applied into economic forecasting in mobile wireless sensor networks

Abstract 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 an...

Full description

Bibliographic Details
Main Authors: Miao Qin, Rongbo Zhu
Format: Article
Language:English
Published: SpringerOpen 2018-02-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Economic forecasting
Wireless sensor networks
Valid sample
Localization
Differential evolution
Online Access:http://link.springer.com/article/10.1186/s13638-018-1037-1

Internet

http://link.springer.com/article/10.1186/s13638-018-1037-1

Similar Items