Indoor localization using Wi-Fi method based on Fingerprinting Technique

Chabbar, Houria; Chami, Mouhcine

doi:10.1109/wits.2017.7934613

Cited by 21 publications

(18 citation statements)

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“…In the online phase, this collected dataset is then used to predict the location of new measurements. Compared to geometric approaches, fingerprinting techniques have demonstrated higher accuracies in practice [17,20,21]. However, most of the techniques are used for Wi-Fi-based devices where deployment is much less, thereby the fingerprint size is small.…”

Section: Related Workmentioning

confidence: 99%

Study of Activity Tracking through Bluetooth Low Energy-Based Network

Mohsin

Payandeh

Ho³

et al. 2019

Journal of Sensors

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This paper proposes a proof-of-concept, low-cost, and easily deployable Bluetooth low energy- (BLE-) based localization system which actively scans and localizes BLE beacons attached to mobile subjects in a room. Using the received signal strength (RSS) of a BLE signal and the uniqueness of BLE hardware addresses, mobile subjects can be identified and localized within the hospital room. The RSS measurement of the BLE signal from a wearable BLE beacon varies with distance to the wall-anchored BLE scanner. In order to understand and demonstrate the practicality of the relationship between RSS of a BLE beacon and the distance of a beacon from a scanner, the first part of the paper presents the analysis of the experiments conducted in a low-noise and nonreflective environment. Based on the analysis conducted in an ideal environment, the second half of the paper proposes a data-driven localization process for pinpointing the movements of the subject within the experimental room. In order to ensure higher accuracy like fingerprinting techniques and handle the increased number of BLE-anchored scanners like geometric techniques, the proposed algorithm was designed to combine the best aspects of these two techniques for better localization. The paper evaluates the effects of the number of BLE wall-mounted scanners and the number of packets on the performance of the proposed algorithm. The proposed algorithm locates the patient within the room with error less than 1.8 m. It also performs better than other classical approaches used in localization.

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Section: Related Workmentioning

confidence: 99%

Study of Activity Tracking through Bluetooth Low Energy-Based Network

Mohsin

Payandeh

Ho³

et al. 2019

Journal of Sensors

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“…It represents an error of distance between the estimated position and the real position of the user or object (Basri et al, 2017;Chabbar et al, 2017). This value is indicated to mean value of error location.…”

Section: Accuracymentioning

confidence: 99%

“…It represents the price of equipment and all cost which is required for infrastructure, installation of equipment and maintenance, therefore, it is desirable to keep the cost as low as it is possible (Chabbar et al, 2017; Al-Ammar et al, 2014).…”

Section: Costmentioning

confidence: 99%

“…As new technologies develop at a great pace, local position system (LPS) become more and more diversified and increasingly important in a large number of applications and contexts such as healthcare, targeted, monitoring, tracking and security (Mainetti, Patrono and Sergi, 2014) (Chabbar and Mouhcine, 2017). However, most of them suffer from either accuracy or coverage limitation.…”

Section: Introductionmentioning

confidence: 99%

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An Overview of Local Positioning System: Technologies, Techniques and Applications

Hasan¹,

Hussein²,

Saad³

et al. 2018

IJET

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Positioning system like global position system (GPS) and Local position system (LPS) have become very important in a large number of applications such as monitoring and tracking, etc. Because of the limitations of GPS in indoor environments due to the lack of line of sight (LoS), the use of LPS has become a true necessary to estimate user"s or object position with a good accuracy. In order to choose the best LPS system, a compromise between accuracy, precision, power consumption, coverage and cost should be taken into account. This paper introduces an overview of LPS performance parameters, current technologies, techniques and methods used by LPS. On the other hand, the comparison between LPS technologies and techniques used based on those technologies are also discussed. Furthermore, the LPS"s applications that have been done by previous researches such as human tracking, object tracking, animal tracking and automatic guide vehicle (AGV) tracking will be discussed. We believe this paper would catalyze further investigation by the researcher which is interested on the LPS field.

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“…Locating users started using infrared sensors and ultrasound sensors but these technologies suffered from many pitfalls concerning noise, cost, range and availability. The invent of wireless technologies paved a way to use signals of opportunity (SoOp) for positioning 8 . Among these several technologies, WiFi performed better than other technologies as it covered considerable distance compared to traditional methods like Bluetooth and cellular 9‐11 .…”

Section: Introductionmentioning

confidence: 99%

Fuzzy decision trees embedded with evolutionary fuzzy clustering for locating users using wireless signal strength in an indoor environment

et al. 2021

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Location estimation is one of the critical requirement for developing smart environment products. Due to huge utilization and accessibility of WiFi infrastructure facility in indoor environments, researchers widely studied this technology to locate users accurately to provide several services instantly. In this research work, a hybrid algorithm namely fuzzy decision tree (FDT) with evolutionary fuzzy clustering methods is adopted for optimal user localization in a closed environment. Here we consider the wireless signal strengths received from the smart phones as predictors and the location of the user as the classification label. The required data for the current research is collected from the physical facility available at an office location in USA. The classification results obtained are promising enough to show that the evolutionary clustering approaches provide good fuzzy clusters for FDT induction with better accuracy.

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Indoor localization using Wi-Fi method based on Fingerprinting Technique

Cited by 21 publications

References 1 publication

Study of Activity Tracking through Bluetooth Low Energy-Based Network

Study of Activity Tracking through Bluetooth Low Energy-Based Network

An Overview of Local Positioning System: Technologies, Techniques and Applications

Fuzzy decision trees embedded with evolutionary fuzzy clustering for locating users using wireless signal strength in an indoor environment

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