Fully Connected Neural Networks Ensemble with Signal Strength Clustering for Indoor Localization in Wireless Sensor Networks

The paper introduces a method which improves localization accuracy of the signal strength fingerprinting approach. According to the proposed method, entire localization area is divided into regions by clustering the fingerprint database. For each region a prototype of the received signal strength is...

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Bibliographic Details
Main Authors: Marcin Bernas, Bartłomiej Płaczek
Format: Article
Language:English
Published: Hindawi - SAGE Publishing 2015-12-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1155/2015/403242