Received Signal Strength-Based Robust Cooperative Localization With Dynamic Path Loss Model

Robust received signal strength (RSS)-based cooperative wireless localization using a linear least squares (LLS) method is proposed. We first extend the LLS methods to the cooperative case. To make the proposed algorithm robust, dynamic path loss models are utilized to describe the changing environm...

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Bibliographic Details
Published in:IEEE sensors journal 2016-03, Vol.16 (5), p.1265-1270
Main Authors: Liang, Chen, Wen, Fuxi
Format: Article
Language:English
Subjects:
Accuracy
Anchors
Calibration
Constants
Cooperative localization
dynamic path loss model
Dynamics
Heuristic algorithms
improved linear least square
Least squares method
linear least square
Localization
Mathematical models
Position (location)
received signal strength
Robustness
Sensors
virtual anchor selection
Wireless communication
Wireless sensor networks
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Summary:Robust received signal strength (RSS)-based cooperative wireless localization using a linear least squares (LLS) method is proposed. We first extend the LLS methods to the cooperative case. To make the proposed algorithm robust, dynamic path loss models are utilized to describe the changing environments; the path loss constants are updated based on the estimated positions of the client nodes. Furthermore, anchor nodes (reference nodes) calibration is considered to deal with the anchor node position errors. The simulation results are given for the proposed methods. Compared with the RSS-based non-cooperative LLS type methods, robust and better performance are obtained.
ISSN:1530-437X
1558-1748
DOI:10.1109/JSEN.2015.2500270