A robust distributed node positioning based on weighted least squares scaling in wireless sensor networks

2007 ◽  
Author(s):  
Fang Zhao ◽  
Yan Ma ◽  
Haiyong Luo ◽  
Quan Lin ◽  
Haijun Zhao
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Least Squares ◽  
Weighted Least Squares ◽  
Wireless Sensor

scholarly journals Hybrid RSS/AOA Localization using Approximated Weighted Least Square in Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1159 ◽  
Author(s):  
SeYoung Kang ◽  
TaeHyun Kim ◽  
WonZoo Chung
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Least Squares ◽  
Covariance Matrix ◽  
Weighted Least Squares ◽  
Target Position ◽  
Superior Performance ◽  
Wireless Sensor ◽  
Error Covariance Matrix ◽  
Error Covariance

We present a target localization method using an approximated error covariance matrix based weighted least squares (WLS) solution, which integrates received signal strength (RSS) and angle of arrival (AOA) data for wireless sensor networks. We approximated linear WLS errors via second-order Taylor approximation, and further approximated the error covariance matrix using a least-squares solution and the variance in measurement noise over the sensor nodes. The algorithm does not require any prior knowledge of the true target position or noise variance. Simulations validated the superior performance of our new method.

scholarly journals A Low-Complexity Geometric Bilateration Method for Localization in Wireless Sensor Networks and Its Comparison with Least-Squares Methods

Sensors ◽  
2012 ◽  
Vol 12 (1) ◽  
pp. 839-862 ◽  
Author(s):  
Juan Cota-Ruiz ◽  
Jose-Gerardo Rosiles ◽  
Ernesto Sifuentes ◽  
Pablo Rivas-Perea
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Least Squares ◽  
Low Complexity ◽  
Wireless Sensor
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