DocumentCode
3589720
Title
Localization algorithm for mobile nodes in wireless sensor networks based on subsection learning of double-layers BP neural network
Author
Mao Yuming
Author_Institution
Coll. of Inf. Sci. & Electr. Eng., Shandong Jiaotong Univ., Jinan, China
fYear
2014
Firstpage
1
Lastpage
4
Abstract
The position information of nodes localization is essential in wireless sensor network. The paper presents a localization algorithm for wireless sensor network mobile nodes based on subsection learning of double-layers BP neural network. The study uses the received signal strength at the unknown point and the speed of the unknown point as the input data to locating the mobile node. Results show the method improves the positioning accuracy for wireless sensor network.
Keywords
RSSI; backpropagation; mobile radio; neural nets; sensor placement; telecommunication computing; wireless sensor networks; double-layer BP neural network subsection learning; mobile node localization algorithm; positioning accuracy improvemen; received signal strength; wireless sensor network; Bp neural network; localization; mobile node; wireless sensor network;
fLanguage
English
Publisher
iet
Conference_Titel
Cyberspace Technology (CCT 2014), International Conference on
Print_ISBN
978-1-84919-928-5
Type
conf
DOI
10.1049/cp.2014.1372
Filename
7106871
Link To Document