Location detection of the mobile sensor with fingerprinting‐based cascade artificial neural network model using received signal strength indicator in 3D indoor environment-Reference-Cited by-同舟云学术

Location detection of the mobile sensor with fingerprinting‐based cascade artificial neural network model using received signal strength indicator in 3D indoor environment

Published:2021-09-29 Issue:18 Volume:34 Page:
ISSN:1074-5351
Container-title:International Journal of Communication Systems
language:en
Short-container-title:Int J Commun Syst

Author:

Tuncer Taner¹^ORCID,Erdem Ebubekir¹^ORCID

Affiliation:

1. Faculty of Engineering, Computer Engineering Fırat University Elazığ Turkey

Funder

Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/dac.5000

Reference24 articles.

1. Locating the nodes: cooperative localization in wireless sensor networks

2. Survey of Wireless Indoor Positioning Techniques and Systems

3. An integrated system based on wireless sensor networks for patient monitoring, localization and tracking

4. SeverinoR AlvesM.Engineering a search and rescue application with a wireless sensor network‐based localization mechanism. Proc of IEEE International Symposium on a World of Wireless Mobile and Multimedia Networks.2007;1‐4.https://doi.org/10.1109/WOWMOM.2007.4351751

5. MautzR.Indoor positioning technologies Thesis ETH Zurich 2012.

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