Integrated Statistical Test of Signal Distributions and Access Point Contributions for Wi-Fi Indoor Localization

Zhou, Mu; Li, Yaohua; Tahir, Muhammad Junaid; Geng, Xiaolong; Wang, Yong; He, Wei

doi:10.1109/tvt.2021.3076269

Cited by 93 publications

(24 citation statements)

References 40 publications

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“…[152] Environmental changes that occur during both the training and matching stages commonly affect the RSS variance issue in Wi-Fi fingerprinting based localization. Several calibration approaches have been devised to solve this type of issue in the literature [153], [154]. However, they all focus on the hardware-caused variation issue.…”

Section: Accurate Measurementsmentioning

confidence: 99%

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

Asaad¹,

Maghdid²

2021

Preprint

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<p>The number of connected mobile devices and Internet of Things (IoT) is growing around us, rapidly. Since, most of the people daily activities are relying on these connected things or devices. Specifically, this past year (with COVID-19) changed daily life in abroad and this is increased the use of IoT enabled technologies in health sector, work, and play. Further, the most common service via using these technologies is the localization/positioning service for different applications including: geo-tagging, billing, contact tracing, health-care system, point-of-interest recommendations, social networking, security, and more. Despite the availability of a large number of localization solutions in the literature, the precision of localization cannot meet the needs of consumers. For that reason, this paper provides an in-depth investigation of the existing technologies and techniques in the localization field, within the IoT era. Furthermore, the benefits and drawbacks of each technique with enabled technologies are illustrated and a comparison between the utilized technologies in the localization is made. The paper as a guideline is also going through all of the metrics that may be used to assess the localization solutions. Finally, the state-of-the-art solutions are examined, with challenges and perspectives regarding indoors/outdoors environments are demonstrated.</p>

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Section: Accurate Measurementsmentioning

confidence: 99%

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

Asaad¹,

Maghdid²

2021

Preprint

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“…This paper firstly uses 3D Solidwork modeling software to complete the establishment of the intelligent operator model, then introduces the built-in mechanical dynamics model into the ADAMS (Automatic Dynamic Analysis of Mechanical System) software for simulation, and finally uses the desktop software to complete the system simulation (structure optimization) [16,17]. This article has the following innovations: (1) this article uses mechanical kinematics to study the movement of machinery, through which it can better analyze the mechanical movement process and optimize the machinery [18], and (2) this paper optimizes the mechanical motion through the inverse solution of the Motoman hp6 machine kinematics, which improves the optimization to a degree [2,19].…”

Section: Main Contentmentioning

confidence: 99%

IOT security privacy protection mechanism and mechanical structure design simulation optimization

Guo

2021

EURASIP J. Adv. Signal Process.

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Once the Internet of Things was proposed, it has received great attention from all walks of life and has become one of the top ten technologies that change the world. Therefore, more and more people are engaged in the research of the Internet of Things, after the unremitting efforts of all seniors. Now the Internet of Things has been applied to every aspect of our lives. However, in the application process of the Internet of Things, the protection of personal privacy will undoubtedly be involved. If this problem is not effectively resolved, it will become a major obstacle to the development of the Internet of Things. At present, the research of fully homomorphic technology has attracted great attention from the cryptography community. You can directly calculate the encrypted text encryption to obtain the output and decrypt the output. The result is the same as the output of the unencrypted plain text. This article first comprehensively describes the solution to the privacy protection problem in the existing Internet of Things, and then proposes to apply the fully homomorphic technology to the Internet of Things to make the services provided by the network more secure. Through the analysis of the basic composition and architecture of the existing Internet of Things system, a privacy protection interaction model for the Internet of Things is established, which uses a completely homomorphic technology. On this basis, the algorithm for implementing simple homomorphic encryption is improved, and general homomorphic encryption theory is proposed for some security issues. After using this method to encrypt privacy, the success rate of cracking dropped by 24%.

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“…Under a normal distribution condition, the test results follow the chi-square distribution (χ 2 ) with degrees of freedom of 2, giving the significance level α = 0.05 and the critical value of χ 2 1−α,2 [23]. If the Jarque-Bera test statistic is less than the critical value, it will obey the normal distribution.…”

Section: Statistics-based Outlier Detectionmentioning

confidence: 99%

A Quantification Method for Supraharmonic Emissions Based on Outlier Detection Algorithms

et al. 2021

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Based on outlier detection algorithms, a feasible quantification method for supraharmonic emission signals is presented. It is designed to tackle the requirements of high-resolution and low data volume simultaneously in the frequency domain. The proposed method was developed from the skewed distribution data model and the self-tuning parameters of density-based spatial clustering of applications with noise (DBSCAN) algorithm. Specifically, the data distribution of the supraharmonic band was analyzed first by the Jarque–Bera test. The threshold was determined based on the distribution model to filter out noise. Subsequently, the DBSCAN clustering algorithm parameters were adjusted automatically, according to the k-dist curve slope variation and the dichotomy parameter seeking algorithm, followed by the clustering. The supraharmonic emission points were analyzed as outliers. Finally, simulated and experimental data were applied to verify the effectiveness of the proposed method. On the basis of the detection results, a spectrum with the same resolution as the original spectrum was obtained. The amount of data declined by more than three orders of magnitude compared to the original spectrum. The presented method will benefit the analysis of quantification for the amplitude and frequency of supraharmonic emissions.

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Integrated Statistical Test of Signal Distributions and Access Point Contributions for Wi-Fi Indoor Localization

Cited by 93 publications

References 40 publications

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

A Comprehensive Review of Indoor/Outdoor Localization Solutions in IoT era: Research Challenges and Future Perspectives

IOT security privacy protection mechanism and mechanical structure design simulation optimization

A Quantification Method for Supraharmonic Emissions Based on Outlier Detection Algorithms

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