Rssi

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Rssi Based Environment Monitoring And Accurate Event Detection

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Author : Falk Brockmann
language : en
Publisher:
Release Date : 2019

Rssi Based Environment Monitoring And Accurate Event Detection written by Falk Brockmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Past research on the analysis of the Received Signal Strength Indicator (RSSI) of a radio transmission indicates that radio signals can be used as passive sensing technology to detect the presence of persons. This way, a detection system can be built from inexpensive commercial of-the-shelf transceivers with no need for possibly expensive additional sensing hardware. Furthermore, radio signals can penetrate obstacles, like walls or furniture, which increases the detection range in cluttered indoor environments. However, the RSSI of a radio transmission itself has a naturally fluctuating behaviour due to the effects of multipath propagation. Because of these circumstances the detection accuracy is an important feature for any RF-based passive presence detection application. Here, we evaluate different means to improve the detection accuracy of passive presence detection based on the application scenarios velocity estimation and queueing systems. First, we evaluate and compare 15 techniques for estimating the velocity of a person. The analysis is based on each technique's detection accuracy when sensing a Line of Sight (LoS) crossing event between radio transceivers. Second, we analyse Bluetooth Low Energy as alternative radio technology for RSSI-based passive presence detection. Third, we create a prototype queueing system estimating the number of people waiting in line and the occupancy level of the waiting area based on the insights of the previous sections. The resulting system has a high portability, is easy to deploy and has a high detection accuracy.

Measurement And Analysis On Received Signal Strength Indicator Rssi Of Wifi Signals For Indoor Localization

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Author : Peijie Miao
language : en
Publisher:
Release Date : 2015

Measurement And Analysis On Received Signal Strength Indicator Rssi Of Wifi Signals For Indoor Localization written by Peijie Miao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015 with Indoor positioning systems (Wireless localization) categories.

Rssi

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Author :
language : en
Publisher:
Release Date : 1992

Rssi written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Semantics (Philosophy) categories.

Wlan Access Points Rssi Fingerprinting And Compressive Sensing For Indoor Positioning Systems

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Author : Hussein Nasser Wazeer Moukhles
language : en
Publisher:
Release Date : 2018

Wlan Access Points Rssi Fingerprinting And Compressive Sensing For Indoor Positioning Systems written by Hussein Nasser Wazeer Moukhles and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Compressed sensing (Telecommunication) categories.

Efforts to improve the performance accuracy of Indoor Positioning Systems (IPS) have been increasing substantially and it has been a very fierce competition among scientific and enterprise entities. This dissertation focuses on using existing wireless network infrastructure and addresses the utilization of advanced mathematical algorithms to achieve the sought higher positioning accuracy. The ability to formulate the positioning problem as a sparse system furnishes the impetus for investigating the promising Compressive Sensing (CS) theory for IPS. Therefore, this dissertation aims to design a Received Signal Strength Indicator (RSSI) Fingerprinting-based IPS while utilizing existing Wireless Local-Area Networks (WLANs) within a CS framework. The positioning accuracy of the proposed IPS-framework has been improved by employing CS-based classification and hybrid cluster-matching techniques. A WLAN-APs selection scheme based on Probability of Detection (POD) that is, in turn, based on the AP frequency of detection at the different RPs, was proposed. The impact of POD, the Time Variance, and the Random APs selection schemes were verified through a comparison between positioning accuracy of CS-based IPS and that of k-NN-based IPSs. Experimental results show that the Random and POD schemes outperform the other two approaches when the CS- and k-NN-based frameworks are used, respectively. Multiple-Fingerprints (MFPs) technique, whereby each RP is represented by a set of RSSI-vectors forming multiple fingerprints was also proposed. MFPs are generated from the collected RSSI time-samples by means of random combinations and FPs partitioning approaches. The performance of CS-, Probabilistic Neural Networks (PNN)-, and k-NN-based IPSs are evaluated by using the proposed MFPs technique. Results show that the positioning performance of IPS with the MFPs technique outperforms that for the typical single FP-based systems. IPS based on WLAN-RSSI Fingerprinting and CS-based classification was achieved using Fuzzy C-Means (FCM) clustering and a FCM-PNN hybrid cluster-matching approach based on the U-membership matrix of the FCM clustering approach and PNN. To evaluate the performance of the proposed framework, a comparison with k-NN-, PNN-, and typical CS-based IPSs approaches was conducted. The performance evaluation for the proposed IPS techniques has been based on using 1776 generated RSSI-vectors from within the building of the College of Engineering and Applied Sciences at Western Michigan University. This testing Radio Map (RM) has been constructed from the RSSI time-samples of both RPs and TPs by random combinations. The figure-of-merit has been selected as the Euclidian distance among the actual and estimated positions. Positioning performance versus the number of selected Aps was also investigated using the Root Mean Square Error (RMSE). The experimental results show that the proposed IPS framework outperforms k-NN-, PNN-, and typical CS-based ones with accuracy of 0.8 m at 36 APs. For the same number of selected APs, the accuracies for k-NN-, PNN-, and typical CS-based frameworks are 2.06 m, 1.47 m, and 1.12 m, respectively.

Rssi Doa Based Positioning Systems For Wireless Sensor Network

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Author : Stefano Maddio
language : en
Publisher:
Release Date : 2012

Rssi Doa Based Positioning Systems For Wireless Sensor Network written by Stefano Maddio and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012 with Technology categories.

RSSI/DoA Based Positioning Systems for Wireless Sensor Network.

Wireless Sensor Networks

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Author : Bhaskar Krishnamachari
language : en
Publisher: Springer Science & Business Media
Release Date : 2010-03-02

Wireless Sensor Networks written by Bhaskar Krishnamachari and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-03-02 with Computers categories.

This book constitutes the refereed proceedings of the 7th European Conference on Wireless Sensor Networks, EWSN 2010, held in Coimbra, Portugal, in Februar 2010. The 21 revised full papers presented were carefully reviewed and selected from 109 submissions. Topics of interest include hardware design and implementation, operating systems and software, middleware and macroprogramming, communication and network protocols, information and signal processing, fundamental theoretical limits and algorithms, prototypes, field experiments, testbeds, novel applications, including urban sensing, security and fault-tolerance. The papers are organized in topical sections on localization, synchronization and compression, networking, new directions, programming and architecture, as well as on link reliability.

Wireless Sensor Networks

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Author : Tarek Abdelzaher
language : en
Publisher: Springer
Release Date : 2015-01-24

Wireless Sensor Networks written by Tarek Abdelzaher and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-24 with Computers categories.

This book constitutes the refereed proceedings of the 12 European Conference on Wireless Sensor Networks, EWSN 2015, held in Porto, Portugal, in February 2015. The 14 full papers and 9 short papers presented were carefully reviewed and selected from 85 submissions. They cover a wide range of topics grouped into five sessions: services and applications, mobility and delay-tolerance, routing and data dissemination, and human-centric sensing.

Rssi Based Position Sensing Using Artifical Neural Networks And Febric Rfid Tag Antennas

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Author : Eric Paul Beaudette
language : en
Publisher:
Release Date : 2019

Rssi Based Position Sensing Using Artifical Neural Networks And Febric Rfid Tag Antennas written by Eric Paul Beaudette and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.

Commercially available motion capture systems are expensive, can have rigid, non-breathable materials with moderate to strong compression, and are not aesthetically appealing to be worn in everyday life. This study aimed to investigate the feasibility of using fabric-based radio frequency identification (RFID) tags for received signal strength indicator (RSSI) human position-sensing classification using artificial neural networks. Subsequent to this, characterization of each antenna type was investigated. Models were tested using k-fold cross validation schemes using the classification metrics of overall accuracy, individual position accuracies, and cohen's kappa statistic. In the supervised models for each participant, the tags with commercial antennas (CA), and the tags with the conductive fabric antennas (CFA) yielded overall classification rates of 95%, while the tags with embroidered antennas (EA) was 91%. The CFA, similar in thickness to the CA, showed a superior water vapor transmission rate and bending rigidity than the CA and EA. Misclassifications were generally due to either similar positions, or positions with similar signal strength signatures, resulting in ambiguity when training the artificial neural network. Concealing fabric-based antennas into wearable garments presents the opportunity for human-sensing applications to work in tandem with outpatient healthcare and virtual reality entertainment systems.

Cluster Based Localization And Tracking In Ubiquitous Computing Systems

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Author : José Ramiro Martínez-de Dios
language : en
Publisher: Springer
Release Date : 2017-05-17

Cluster Based Localization And Tracking In Ubiquitous Computing Systems written by José Ramiro Martínez-de Dios and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-05-17 with Technology & Engineering categories.

Localization and tracking are key functionalities in ubiquitous computing systems and techniques. In recent years a very high variety of approaches, sensors and techniques for indoor and GPS-denied environments have been developed. This book briefly summarizes the current state of the art in localization and tracking in ubiquitous computing systems focusing on cluster-based schemes. Additionally, existing techniques for measurement integration, node inclusion/exclusion and cluster head selection are also described in this book.

Error Mitigation In Rssi Based Fingerprinting Localization Using Multiple Communication Channels

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Author : Francisco Javier Mora-Becerra
language : en
Publisher:
Release Date : 2016

Error Mitigation In Rssi Based Fingerprinting Localization Using Multiple Communication Channels written by Francisco Javier Mora-Becerra and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with categories.

Location data from radio signal strength indication (RSSI) based wireless networks has been used in various applications such as creating smart home behavioral monitoring systems, tracking health care workers for the spread of hospital-associated infections, and providing location-aware tour guide systems. Because RSSI-based systems are inexpensive and can be used with most wireless devices without requiring additional hardware, they are a popular choice for localization. Unfortunately, multipath fading dramatically degrades the performance of an RSSI-based system's ability to locate a target indoors. This thesis endeavors to reduce localization error for RSSI-based fingerprinting localization systems in an indoor environment through frequency diversity by using multiple communication channels. By creating a multichannel fingerprint of the environment using fingerprinting calibration techniques, fine-grained, 5 centimeter, 2-dimensional localization accuracy is achieved in an indoor environment under certain restrictions.