Localization algorithm for mobile nodes in wireless sensor networks based on subsection learning of double-layers BP neural network

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Localization algorithm for mobile nodes in wireless sensor networks based on subsection learning of double-layers BP neural network

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  • DOI:  10.1049/cp.2014.1372
  • ISBN: 978-1-84919-928-5
  • Location: Beijing, China
  • Conference date: 8-10 Nov. 2014
  • Format: PDF
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.

Inspec keywords: wireless sensor networks; sensor placement; telecommunication computing; backpropagation; mobile radio; RSSI; neural nets

Subjects: Neural computing techniques; Wireless sensor networks; Mobile radio systems; Communications computing

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