Distance Estimation Error from Direct Measurement of the RSSI. The Use of Link Quality Indicator for Obtaining a Global Vision of the Network

2011 ◽  
Vol 9 (6) ◽  
pp. 2197-2202
Author(s):  
Maziyar Daemitabalvandani ◽  
Josep Sabater ◽  
Jordi Sabater ◽  
Manel López
Keyword(s):  
Direct Measurement ◽  
Quality Indicator ◽  
Estimation Error ◽  
Distance Estimation ◽  
Link Quality ◽  
Global Vision ◽  
Link Quality Indicator

scholarly journals A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers

2012 ◽  
Vol 2012 ◽  
pp. 1-10 ◽  
Author(s):  
Sharly Joana Halder ◽  
Wooju Kim
Keyword(s):  
Indoor Localization ◽  
Distance Estimation ◽  
Link Quality ◽  
Average Error ◽  
Indoor Environments ◽  
Interference Avoidance ◽  
Localization System ◽  
Context Aware Computing ◽  
Link Quality Indicator ◽  
Unknown Node

Due to the ease of development and inexpensiveness, indoor localization systems are getting a significant attention but, with recent advancement in context and location aware technologies, the solutions for indoor tracking and localization had become more critical. Ranging methods play a basic role in the localization system, in which received signal strength indicator- (RSSI-) based ranging technique gets the most attraction. To predict the position of an unknown node, RSSI measurement is an easy and reliable method for distance estimation. In indoor environments, the accuracy of the RSSI-based localization method is affected by strong variation, specially often containing substantial amounts of metal and other such reflective materials that affect the propagation of radio-frequency signals in nontrivial ways, causing multipath effects, dead spots, noise, and interference. This paper proposes an adaptive smoother based location and tracking algorithm for indoor positioning by making fusion of RSSI and link quality indicator (LQI), which is particularly well suited to support context aware computing. The experimental results showed that the proposed mathematical method can reduce the average error around 25%, and it is always better than the other existing interference avoidance algorithms.

scholarly journals An Anchor-Free Localization Scheme with Kalman Filtering in ZigBee Sensor Network

2013 ◽  
Vol 2013 ◽  
pp. 1-11 ◽  
Author(s):  
Teijiro Isokawa ◽  
Shun Motomura ◽  
Junya Ohtsuka ◽  
Hironobu Kawa ◽  
Satoshi Nakashima ◽  
...  
Keyword(s):  
Kalman Filtering ◽  
Quality Indicator ◽  
Measurement Errors ◽  
Location Estimation ◽  
Link Quality ◽  
Sensor Nodes ◽  
Weighted Averaging ◽  
Hop Count ◽  
Localization Scheme ◽  
Link Quality Indicator

A localization scheme for wireless sensor networks is proposed and its performances are investigated in this paper. The proposed scheme is an anchor-free scheme, in which no geometrical information of sensor nodes is required for their localization. Thus, only local interaction among sensor nodes is used to estimate their locations. This scheme employs the link quality indicator and hop count between sensor nodes for location estimation. A weighted averaging and Kalman filtering schemes are incorporated in order to reduce the effects of the measurement errors in the obtained values of the link quality indicator. We performed experiments by implementing the proposed scheme on ZigBee sensor modules. The results of our experiments indicate that estimation could be successfully performed for networks comprising four sensor nodes.

scholarly journals Complete power distribution system representation and state determination for fault location

DYNA ◽  
2015 ◽  
Vol 82 (192) ◽  
pp. 141-149 ◽  
Author(s):  
Andres Felipe Panesso-Hernández ◽  
Juan Mora-Flórez ◽  
Sandra Pérez-Londoño
Keyword(s):  
Power Distribution ◽  
Distribution System ◽  
Distribution Systems ◽  
Fault Location ◽  
Estimation Error ◽  
Distance Estimation ◽  
Power Distribution Systems ◽  
Line Load ◽  
Power Distribution System ◽  
Line Section

<p>The impedance-based approaches for fault location in power distribution systems determine a faulted line section. Next, these require of the estimation of the voltages and currents at one or both section line ends to exactly determine the fault location. It is a challenge because in most of the power distribution systems, measurements are only available at the main substation.  This document presents a modeling proposal of the power distribution system and an easy implementation method to estimate the voltages and currents at the faulted line section, using the measurements at the main substation, the line, load, transformer parameters and other serial and shunt connected devices and the power system topology. The approach here proposed is tested using a fault locator based on superimposed components, where the distance estimation error is lower than 1.5% in all of the cases. </p>

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