Indoor positioning system techniques and security

Kim, Sung-Il; Ha, Sunhwa; Alshihri, Saad; Kim, Juho

doi:10.1109/icend.2015.7328540

Cited by 28 publications

(9 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For indoor positioning, various radio technology‐based solutions including, ultra‐wideband (UWB) [9, 10], Bluetooth [11], radio‐frequency identification (RFID) [12], and wireless local area networks (WLAN) [13] can be used. However, there is a trade‐off between the range and accuracy of these systems.…”

Section: Introductionmentioning

confidence: 99%

A range error reduction technique for positioning applications in sports

Waqar

Ahmad

Habibi

et al. 2021

The Journal of Engineering

View full text Add to dashboard Cite

In recent times, ultra-wideband (UWB)-based positioning systems have become popular in sport performance monitoring. UWB positioning system uses time of arrival to calculate the range data between devices (i.e. anchors, tags), and then use trilateration algorithms to estimate position coordinates. In practical applications, non-line-of-sight transmissions and multipath propagations lead to inaccurate range data and lower positioning accuracy. This paper introduces a range error minimisation algorithm to address this limitation of error in range data in UWB-based positioning system. The proposed solution analyses the range error for each anchor and sequentially reduces this error based on the distance between each anchor and the tag. This ultimately contributes to higher positioning accuracies. The authors implemented the proposed algorithm in a hardware test-bed, evaluating the positioning accuracy for an indoor sport. The proposed algorithm outperforms both the trilateration algorithm and a commercially used positioning algorithm by up to 50% and 25%, respectively. How to cite this article: Waqar A, Ahmad I, Habibi D, Phung QV. A range error reduction technique for positioning applications in sports.

show abstract

Section: Introductionmentioning

confidence: 99%

A range error reduction technique for positioning applications in sports

Waqar

Ahmad

Habibi

et al. 2021

The Journal of Engineering

View full text Add to dashboard Cite

show abstract

“…An IPS usually relies on the following three main methodologies regardless of the preferred wireless network technology. These methodologies are proximity, fingerprinting and multilateration [1]. While all these methodologies utilize radio signals originating from external pre-known sources (called as anchor nodes, access points, beacons etc.…”

Section: Introductionmentioning

confidence: 99%

A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems

Cabuk

Dalkılıç

Dağdeviren

2019

Celal Bayar Üniversitesi Fen Bilimleri Dergisi

View full text Add to dashboard Cite

Global positioning system and other outdoor positioning mechanisms are already subject to comprehensive research and development for almost half a century. Conversely, indoor positioning services became a hot topic in the last decade. Since GPS (and. other outdoor solutions) do not work reliably in most indoor environments, researchers and developers are working on accurate positioning solutions, especially tailored for indoor places. However; due to walls, furniture, people and other obstacles, absolute location estimation is very hard and expensive to achieve in indoor places. In addition, accuracy needs depend on the scenario and application. In this study, we have studied the feasibility of room-level location detection in home and office environments. We have focused on examining the quality of room-wise detection accuracy of the fingerprinting method that is applied along with standard Wi-Fi radio infrastructure. We have conducted experiments in a multi-storey office building made of concrete and aerated concrete bricks with many rooms, in which it is significantly hard to accurately estimate the correct place of a thing, using radio signals. To the best of our knowledge, our paper is the first study that investigates the room-level accuracy of Wi-Fi fingerprinting-based indoor localization systems. We have found out that, it is possible to feasibly achieve room-level detection with good accuracy, via a pre-calculated room-specific received signal strength indicator threshold value.

show abstract

“…In the indoor environment, the extensive application of WiFi makes WiFi-based IPS possible in many places. The localization method based on RSSI [ 14 ] has become the mainstream method of indoor localization, with the advantages of low cost, wide coverage and no need for any other hardware [ 15 ]. The method is generally divided into two categories.…”

Section: Introductionmentioning

confidence: 99%

Secure Indoor Localization Based on Extracting Trusted Fingerprint

Luo

Yin

Zheng

et al. 2018

Sensors

View full text Add to dashboard Cite

Indoor localization based on WiFi has attracted a lot of research effort because of the widespread application of WiFi. Fingerprinting techniques have received much attention due to their simplicity and compatibility with existing hardware. However, existing fingerprinting localization algorithms may not resist abnormal received signal strength indication (RSSI), such as unexpected environmental changes, impaired access points (APs) or the introduction of new APs. Traditional fingerprinting algorithms do not consider the problem of new APs and impaired APs in the environment when using RSSI. In this paper, we propose a secure fingerprinting localization (SFL) method that is robust to variable environments, impaired APs and the introduction of new APs. In the offline phase, a voting mechanism and a fingerprint database update method are proposed. We use the mutual cooperation between reference anchor nodes to update the fingerprint database, which can reduce the interference caused by the user measurement data. We analyze the standard deviation of RSSI, mobilize the reference points in the database to vote on APs and then calculate the trust factors of APs based on the voting results. In the online phase, we first make a judgment about the new APs and the broken APs, then extract the secure fingerprints according to the trusted factors of APs and obtain the localization results by using the trusted fingerprints. In the experiment section, we demonstrate the proposed method and find that the proposed strategy can resist abnormal RSSI and can improve the localization accuracy effectively compared with the existing fingerprinting localization algorithms.

show abstract

Indoor positioning system techniques and security

Cited by 28 publications

References 4 publications

A range error reduction technique for positioning applications in sports

A range error reduction technique for positioning applications in sports

A Study on Room-Level Accuracy of Wi-Fi Fingerprinting-Based Indoor Localization Systems

Secure Indoor Localization Based on Extracting Trusted Fingerprint

Contact Info

Product

Resources

About