Abstract
When developing a Wi-Fi indoor positioning system in a real-world environment, the problems we have to face are that some access points’ signal strength fluctuates extensively or even loses contact due to the cybersecurity threats, leading to the fact that the indoor location system cannot get reliable application in a real-world environment. To solve this problem, we propose a new integrated model based on signal anomaly detector and signal distance corrector to provide reliable position estimation when the access points’ signal is lost under cybersecurity threats. The signal anomaly detector improves recognition capability of the uncertain signal and noise, while the signal distance corrector improves the robustness and fault tolerance of the highly variable Wi-Fi signals. To fully reflect the performance of the proposed method, experiments have been carried out in the real environment of indoor parking lots. The results show that the proposed integrated model successfully provides reliable position estimation when the access points are lost under cybersecurity threats.
Highlights
In recent years, with the rapid development of computer science and mobile communication, and increasing market share of smart phones, tablet PCs, and other equipment, the need for location services has been growing in an unprecedented rapid pace. ere are many potential applications emerging, such as real-time vehicle information service [1], traffic guidance information service, and parking guidance information service [2]
Without knowing the physical location of the access points in the environment, we propose a new integrated model based on signal anomaly detector and signal distance corrector
In the offline phase, considering that Wi-Fi fingerprint database can be fitted into an n-dimensional surface in signal space, the signal anomaly detector is constructed based on signal distortion theory and is trained through repeated comparison and analysis
Summary
With the rapid development of computer science and mobile communication, and increasing market share of smart phones, tablet PCs, and other equipment, the need for location services has been growing in an unprecedented rapid pace. ere are many potential applications emerging, such as real-time vehicle information service [1], traffic guidance information service, and parking guidance information service [2]. Varieties of technologies are continuously implemented in indoor positioning fields, including Ultrasonic Positioning [4, 5], Geomagnetic Positioning [6], Bluetooth Positioning [7, 8], UWB Positioning [9], and WiFi Positioning [10, 11]. Among these technologies, Wi-Fi Positioning is the most prominent, as it has advantages in terms of vast communication range, low cost, convenient deployment, etc. Almost all mobile terminals have built-in wireless network cards that can measure Wi-Fi signal strength, which can be used for indoor positioning [14, 15]. ere are outstanding prospects for the development of Wi-Fi indoor positioning technology, and its research remains a meaningful and valuable work
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
