Evaluation of the reliability of RSSI for indoor localization

Dong, Qian; Dargie, Waltenegus

doi:10.1109/icwcuca.2012.6402492

Cited by 59 publications

(10 citation statements)

References 26 publications

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“…The position of the medical device is estimated by the triangulation method using the position of the node and the value of RSSI. This method has been widely studied and is commonly used [16][17][18][19]. However, since the radio wave characteristics are different between Wi-Fi and BLE beacons, there is a problem that the RSSI values differ greatly when measured from the same distance.…”

Section: Localization Methodsmentioning

confidence: 99%

Development of a Monitoring System for the Management of Medical Devices

Kakutani¹,

Ito²,

Shima³

et al. 2023

Computer Networks &Amp; Communications

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In recent years, according to the sophistication of Medical Devices (MD), many portable MDs have been used and maintained with central management. However, the central management lends hospital staff the MDs only with managing by a ledger, therefore, missing or subletting may be caused. Furthermore, while the demand for the MDs is increasing due to the COVID-19, there is an issue that it is difficult to operate due to the shortage of clinical engineers against management duties of the MDs. In this study, we develop a power strip device which can measure electricity usage of plugged MD and its position and propose a visualization system for position and operation ratio of the MDs. We implemented 75 developed devices in three hospitals and confirmed that the system was effective to evaluate whether the number of the MDs owned by the hospital is appropriate.

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Section: Localization Methodsmentioning

confidence: 99%

Development of a Monitoring System for the Management of Medical Devices

Kakutani¹,

Ito²,

Shima³

et al. 2023

Computer Networks &Amp; Communications

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“…The moving average method is frequently used in indoor positioning systems [15][16][17] as it reduces the value of outliers and smooths the signal making it easier to process.…”

Section: Moving Average Methodsmentioning

confidence: 99%

“…The RSSI distance measurement uses the logarithmic distance path-loss model, used in several studies using BLE signals such as [17,18]:…”

Section: Distance Calculationmentioning

confidence: 99%

Ble Based Indoor Positioning System and Minimal Zone Searching Algorithm (MZS) Applied to Visitor Trajectories within a Museum

2021

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Museums are perfect experimentation grounds for indoor positioning technologies. Indeed, museum managers are always pleased to hold these kinds of events where it offers the opportunity to the public to be a part of such experimentation and allowing us at the same time to popularize our research with them. In this paper, we describe an experiment that held within the museum of natural history of La Rochelle with a class of high school volunteers. We will explain our systems that has been built to work in this specific case, and among other things formalize our algorithm for indoor localization that has not had an equivalent in the state of the art. The minimal zone searching algorithm (MZS) can compute in real time the position of a visitor, shaped as a zone with an average surface of 3 m2 when resources are limited and when the placement of nodes must respect the constraints imposed by the room’s layout. This method offered good results with data collected during the experimentation, such as a meaningful representation of the position of a visitor and most importantly a stable execution during the whole experience even when the subject was in tight spaces.

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“…The PHA-IPS method efficiently identifies the access point hindered by any obstacles and eliminates it completely during the position estimate. [11][12][13]. Also, the technique may fail at a random fraction of time due to signal unavailability, temporary blocks, etc.…”

Section: Literature Reviewmentioning

confidence: 99%

An effective algorithm to overcome the practical hindrance for Wi-Fi based indoor positioning system

Bonthu

Subaji

2020

Open Computer Science

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AbstractIndoor tracking has evolved with various methods. The most popular method is using signal strength measuring techniques like triangulation, trilateration and fingerprinting, etc. Generally, these methods use the internal sensors of the smartphone. All these techniques require an adequate number of access point signals. The estimated positioning accuracy depends on the number of signals received at any point and precision of its signal (Wi-Fi radio waves) strength. In a practical environment, the received signal strength indicator (RSSI) of the access point is hindered by obstacles or blocks in the direct path or Line of sight. Such access points become an anomaly in the calculation of position. By detecting the anomaly access points and neglecting it during the computation of an indoor position will improve the accuracy of the positioning system. The proposed method, Practical Hindrance Avoidance in an Indoor Positioning System (PHA-IPS), eliminate the anomaly nodes while estimating the position, so then enhances the accuracy.

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Evaluation of the reliability of RSSI for indoor localization

Cited by 59 publications

References 26 publications

Development of a Monitoring System for the Management of Medical Devices

Development of a Monitoring System for the Management of Medical Devices

Ble Based Indoor Positioning System and Minimal Zone Searching Algorithm (MZS) Applied to Visitor Trajectories within a Museum

An effective algorithm to overcome the practical hindrance for Wi-Fi based indoor positioning system

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