Bluetooth Indoor Positioning System Using Fingerprinting

Frost, Christian; Jensen, Casper S.; Luckow, Kasper Søe; Thomsen, Bent; Hansen, René Rydhof

doi:10.1007/978-3-642-29479-2_11

Cited by 7 publications

(5 citation statements)

References 12 publications

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“…Other methods have proposed to filter the noise by using An Ensemble Filter Algorithm with Fingerprinting method in [14]. The research takes place in a two-floor retail store, and by using this filtering algorithm they achieve 2 meters accuracy which is good considering many noise around the store such as shoppers, staff moving, product and many more.…”

Section: Related Workmentioning

confidence: 99%

“…Based on [3,[14][15][16][17][18] the propagation of radio wave signal on BLE technology and Wi-Fi technology are exactly linear. The nonlinearity of BLE radio wave propagation is proved by increasing the distance between receiver and transmitter but the RSS received result is not sequential as sometimes the result may duplicate because of various noise [6] on different distance.…”

Section: Extended Kalman Filtermentioning

confidence: 99%

“…Various indoor positioning technologies has been proposed based on the literature review such as Infrared, Ultrasound, WLAN/Wi-Fi, BLE and RFID to estimate the position of user in indoor position environment. Among them, Wi-Fi and BLE used similar bandwidth of 2.4 GHz radio wave frequency but based on [14,25] BLE has more advantage than Wi-Fi because of lower material cost and high availability of BLE because of shorter channel width and 3 dedicated advertisement channel also supported by most modern smartphones which made BLE more advantageous than Wi-Fi technology.…”

Section: Introductionmentioning

confidence: 99%

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Indoor Positioning System Using BLE for Tracking Dynamic User Positions

Setiabudi¹

2020

IJETER

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Indoor Positioning System has been one of the most attractive research after Bluetooth Low Energy (BLE) was introduced. This technology mainly used because of the reduction of material and energy cost over time that has huge impact compared to other technology which are more costly. Most Recent Research has solved the problem of inconsistency on Received Signal Strength (RSS) using fingerprint method. But the RSS that received may contain some noise. This paper mainly proposed a method to estimate or tracking the real position of dynamic user. With RSS value as input to be processed and the result of it will be a location (x, y) value, then repeat the process to create an estimate coordinate map of route taken. Our proposed method is based on fingerprinting with weighted sum of five nearest reference point to estimate the position of dynamic user then using Extended Kalman Filter as a tracking algorithm. In this paper we try new ways to collect the data of RSS by dynamically collecting the data in many routes to see whether the proposed algorithm could estimate the position better. We achieve an average mean of error around 302,42 cm using Weighted Sum + Extended Kalman Filter tested on dynamic data.

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Section: Related Workmentioning

confidence: 99%

Section: Extended Kalman Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Indoor Positioning System Using BLE for Tracking Dynamic User Positions

Setiabudi¹

2020

IJETER

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“…Considering radio frequency (RF) based technologies, some of the most popular for indoor positioning are active RFID [9], UWB [11], IEEE 802.11 (also known as WLAN) [5], Bluetooth [4]. Active RFID is very popular for its low cost and for the widespread use of its passive version, that allows information exchange by exploiting the electromagnetic signals exchanged between a powerless tag and a reader.…”

Section: Related Workmentioning

confidence: 99%

Anchor Placement In Indoor Object Tracking Systems For Virtual Reality Simulations

Gribaudo

Piazzolla

Iacono

2018

ECMS 2018 Proceedings Edited by Lars Nolle, Alexandra Burger, Christoph Tholen, Jens Werner, Jens Wellhausen

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Indoor Object Tracking Systems (IOTS) allow sensing moving objects inside a closed space, where GPS is not available. Besides the most popular use, indoor navigation, IOTS may also contribute to extend the operational range and the possible applications of Virtual Reality (VR) and Augmented Reality (AR) based technologies, such as complex training scenarios or entertainment oriented simulations: in fact, providing devices with a reliable IOTS support adds realism and allows a higher degree of safety and interactivity, that allow a high number of people to take part and collaborate in a simulated scene with a very high degree of physical interaction. In this paper we introduce a novel approach for the optimization and the evaluation of movement tracking in a IOTS based system, oriented to VR/AR applications, with special focus on the training of teams. Our proposal is applied to a case study, an AR application designed to assist business buildings workers in fire extinguisher use training. Performances of our proposal are evaluated by means of a simulation, and results are validated in a test scenario based on Ultra Wide Frequency positioning by means of a simulation scenario fed with real data from anchors.

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“…The main advantage of using Bluetooth is that this technology is of high security, low power, low cost, and small size. Many researchers have used Bluetooth for indoor positioning and this reference used Bluetooth [44].…”

Section: Bluetooth Positioning Systemmentioning

confidence: 99%

A Review on Sensor Network Issues and Robotics

2015

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The interaction of distributed robotics and wireless sensor networks has led to the creation of mobile sensor networks. There has been an increasing interest in building mobile sensor networks and they are the favored class of WSNs in which mobility plays a key role in the execution of an application. More and more researches focus on development of mobile wireless sensor networks (MWSNs) due to its favorable advantages and applications. In WSNs robotics can play a crucial role, and integrating static nodes with mobile robots enhances the capabilities of both types of devices and enables new applications. In this paper we present an overview on mobile sensor networks in robotics and vice versa and robotic sensor network applications.

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Bluetooth Indoor Positioning System Using Fingerprinting

Cited by 7 publications

References 12 publications

Indoor Positioning System Using BLE for Tracking Dynamic User Positions

Indoor Positioning System Using BLE for Tracking Dynamic User Positions

Anchor Placement In Indoor Object Tracking Systems For Virtual Reality Simulations

A Review on Sensor Network Issues and Robotics

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