Sensor Localization Using Time of Arrival Measurements in a Multi-Media and Multi-Path Application of In-Situ Wireless Soil Sensing

The problem of localization of nodes of a wireless sensor network placed in different physical media (anchor nodes above ground and sensor nodes underground) is addressed in this article. We use time of arrival of signals transmitted between neighboring sensor nodes and between satellite nodes and s...

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Main Authors: Herman Sahota, Ratnesh Kumar
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Inventions
Subjects:
Online Access:https://www.mdpi.com/2411-5134/6/1/16
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spelling doaj-9550d37eead64e40a9a06e4cb9b628af2021-02-28T00:01:11ZengMDPI AGInventions2411-51342021-02-016161610.3390/inventions6010016Sensor Localization Using Time of Arrival Measurements in a Multi-Media and Multi-Path Application of In-Situ Wireless Soil SensingHerman Sahota0Ratnesh Kumar1Anthem|ai, Anthem, Inc., Palo Alto, CA 94301, USADepartment of Electrical and Computer Engineering, Iowa State University, Ames, IA 50011, USAThe problem of localization of nodes of a wireless sensor network placed in different physical media (anchor nodes above ground and sensor nodes underground) is addressed in this article. We use time of arrival of signals transmitted between neighboring sensor nodes and between satellite nodes and sensor nodes as the ranging measurement. The localization problem is formulated as a parameter estimation of the joint distribution of the time of arrival values. The probability distribution of the time of arrival of a signal is derived based on rigorous statistical analysis and its parameters are expressed in terms of the location coordinates of the sensor nodes. Maximum likelihood estimates of the nodes’ location coordinates as parameters of the joint distribution of the various time of arrival variables in the network are computed. Sensitivity analysis to study the variation in the estimates with respect to error in measured soil complex permittivity and magnetic permeability is presented to validate the model and methodology.https://www.mdpi.com/2411-5134/6/1/16sensor networkslocalizationtime of arrivalmulti-path triangulation
collection DOAJ
language English
format Article
sources DOAJ
author Herman Sahota
Ratnesh Kumar
spellingShingle Herman Sahota
Ratnesh Kumar
Sensor Localization Using Time of Arrival Measurements in a Multi-Media and Multi-Path Application of In-Situ Wireless Soil Sensing
Inventions
sensor networks
localization
time of arrival
multi-path triangulation
author_facet Herman Sahota
Ratnesh Kumar
author_sort Herman Sahota
title Sensor Localization Using Time of Arrival Measurements in a Multi-Media and Multi-Path Application of In-Situ Wireless Soil Sensing
title_short Sensor Localization Using Time of Arrival Measurements in a Multi-Media and Multi-Path Application of In-Situ Wireless Soil Sensing
title_full Sensor Localization Using Time of Arrival Measurements in a Multi-Media and Multi-Path Application of In-Situ Wireless Soil Sensing
title_fullStr Sensor Localization Using Time of Arrival Measurements in a Multi-Media and Multi-Path Application of In-Situ Wireless Soil Sensing
title_full_unstemmed Sensor Localization Using Time of Arrival Measurements in a Multi-Media and Multi-Path Application of In-Situ Wireless Soil Sensing
title_sort sensor localization using time of arrival measurements in a multi-media and multi-path application of in-situ wireless soil sensing
publisher MDPI AG
series Inventions
issn 2411-5134
publishDate 2021-02-01
description The problem of localization of nodes of a wireless sensor network placed in different physical media (anchor nodes above ground and sensor nodes underground) is addressed in this article. We use time of arrival of signals transmitted between neighboring sensor nodes and between satellite nodes and sensor nodes as the ranging measurement. The localization problem is formulated as a parameter estimation of the joint distribution of the time of arrival values. The probability distribution of the time of arrival of a signal is derived based on rigorous statistical analysis and its parameters are expressed in terms of the location coordinates of the sensor nodes. Maximum likelihood estimates of the nodes’ location coordinates as parameters of the joint distribution of the various time of arrival variables in the network are computed. Sensitivity analysis to study the variation in the estimates with respect to error in measured soil complex permittivity and magnetic permeability is presented to validate the model and methodology.
topic sensor networks
localization
time of arrival
multi-path triangulation
url https://www.mdpi.com/2411-5134/6/1/16
work_keys_str_mv AT hermansahota sensorlocalizationusingtimeofarrivalmeasurementsinamultimediaandmultipathapplicationofinsituwirelesssoilsensing
AT ratneshkumar sensorlocalizationusingtimeofarrivalmeasurementsinamultimediaandmultipathapplicationofinsituwirelesssoilsensing
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