scholarly journals Scaling Laws for Cooperative Node Localization in Non-Line-of-Sight Wireless Networks

2011 ◽  
Author(s):  
V. N. Ekambaram ◽  
K. Ramchandran ◽  
R. Sengupta
Keyword(s):  
Wireless Networks ◽  
Scaling Laws ◽  
Line Of Sight ◽  
Node Localization ◽  
Cooperative Node ◽  
Non Line Of Sight

The Improved Personnel Location Algorithm Based on RSSI

2013 ◽  
Vol 712-715 ◽  
pp. 2003-2006
Author(s):  
Sheng Mei Zhou ◽  
Ting Lei Huang
Keyword(s):  
Signal Strength ◽  
Wireless Sensor ◽  
Line Of Sight ◽  
Localization Algorithm ◽  
Matlab Simulation ◽  
Node Localization ◽  
Received Signal Strength Indicator ◽  
Positioning Accuracy ◽  
Location Algorithm ◽  
Non Line Of Sight

In the process of that based on the RSSI received signal strength indicator technique, resulting in the positioning accuracy is so low, since the simple RSSI, multipath, diffraction and non line of sight and other factors. In order to achieve higher accuracy node localization in wireless sensor, the paper is proposed based on the probability of recycling triangle centroid location algorithm in the RSSI technique,The probability of the cycle to handle triangle centroid localization algorithm. Through the Matlab simulation, compared with the traditional triangle centroid localization algorithm, the error is significantly reduced and positioning accuracy improved when the anchor point number exceeds a certain number.

Accuracy Bounds for Wireless Localization Methods

2009 ◽  
pp. 380-405 ◽  
Author(s):  
Michael L. McGuire ◽  
Konstantinos N. Plataniotis
Keyword(s):  
Lower Bound ◽  
Location Estimation ◽  
Line Of Sight ◽  
Regularity Conditions ◽  
Node Localization ◽  
Localization Accuracy ◽  
Sensory Data ◽  
Line Of Sight Propagation ◽  
Cramer Rao Lower Bound ◽  
Non Line Of Sight

Node localization is an important issue for wireless sensor networks to provide context for collected sensory data. Sensor network designers need to determine if the desired level of localization accuracy is achievable from their network configuration and available measurements. The Cramér-Rao lower bound is used extensively for this purpose. This bound is loose since it uses only information from measurements in its calculations. Information, such as that from the sensor selection process, is not considered. In addition, non-line-of-sight radio propagation causes the regularity conditions of the Cramér-Rao lower bound to be violated. This chapter demonstrates the Weinstein-Weiss and extended Ziv-Zakai lower bounds for localization error which remain valid with non-line-of-sight propagation. These bounds also use all available information for bound calculations. It is demonstrated that these bounds are tight to actual estimator performance and may be used determine the available accuracy of location estimation from survey data collected in the network area.

scholarly journals Line-of-sight and non-line-of-sight links for dispersive terahertz wireless networks

APL Photonics ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 041304
Author(s):  
Yasaman Ghasempour ◽  
Yasith Amarasinghe ◽  
Chia-Yi Yeh ◽  
Edward Knightly ◽  
Daniel M. Mittleman
Keyword(s):  
Wireless Networks ◽  
Line Of Sight ◽  
Non Line Of Sight

Integrating the Non-Line of Sight Launching System (NLOS-LS) in the United States Navy

2007 ◽  
Author(s):  
Jonathon Emis ◽  
Bryan Huang ◽  
Timothy Jones ◽  
Mei Li ◽  
Don Tumbocon
Keyword(s):  
United States ◽  
United States Navy ◽  
The United States ◽  
Line Of Sight ◽  
Non Line Of Sight
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