Ultrasonic device localization and its potential for wireless sensor network security

Schweinzer, Herbert; Kaniak, Georg

doi:10.1016/j.conengprac.2008.12.007

Cited by 13 publications

(9 citation statements)

References 15 publications

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“…Several provisions can be made against this fake. The most powerful precaution is changing US locating sequences and signal coding consecutively or periodically [13].…”

Section: Security Of Locatingmentioning

confidence: 99%

Ultrasonic locating system optimized for low cost, high efficiency and secure application

Schweinzer

Spitzer

2009

2009 35th Annual Conference of IEEE Industrial Electronics

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Ultrasonic (US) positioning systems are mostly directed at indoor tracking of mobile devices. However, they also get growing importance for locating a substantial number of static sensor or actuator devices which are communicating via wired or wireless sensor networks and are applied for controlling complex decentralized functionalities. The US positioning system LOSNUS presented in this paper is designed for both locating of mobile devices and also of static devices which can be numerously deployed. Primarily for meeting the demands of static devices, the system is optimized for cheap realization, offers locating with high accuracy, and can be applied up to medium high speed. Beside of principle of operation, receiver design, and basic measurement results, also security aspects are presented in the paper.

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“…Several provisions can be made against this fake. The most powerful precaution is changing US locating sequences and signal coding consecutively or periodically [13].…”

Section: Security Of Locatingmentioning

confidence: 99%

Ultrasonic locating system optimized for low cost, high efficiency and secure application

Schweinzer

Spitzer

2009

2009 35th Annual Conference of IEEE Industrial Electronics

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“…Currently, in the field of wireless positioning, it is common to obtain location information via methods including the global positioning system (GPS), RFID, ultrasonic technology, ultra-wideband (UWB) technology, ZigBee, Wi-Fi, and Bluetooth low energy [5,6,7]. Of these, GPS can obtain position results with high precision in outdoor environments.…”

Section: Introductionmentioning

confidence: 99%

Probability-Based Indoor Positioning Algorithm Using iBeacons

Xia

Liu

et al. 2019

Sensors

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High-precision indoor positioning is important for modern society. This paper proposes a way to achieve high positioning accuracy and obtain a trajectory close to the actual path in a common application scenario by smartphone without the use of a complicated algorithm. In the actual positioning process, a stable signal source can reduce the signal interference caused by environments. Bluetooth low energy has its own advantages in indoor positioning because it can be seen as a more stable signal source. In this study, we used smartphones to record the changing Bluetooth signals and used a basic nearest neighbor, weight centroid, and probability-based method, which we called an advanced weighted centroid method, to obtain position coordinates and the motion trajectory during the experiment. We used a weight centroid method based on least squares to solve the overdetermined problem. This can also be used to calculate the initial position of the advanced weight centroid. The advanced weighted centroid method introduced a Gaussian distribution to model the distribution of the signal. Translating a deterministic problem into a fuzzy probability problem aligns more with positioning facts and can achieve better results. Experimental results showed that the root-mean-square error (RMSE) of the dynamic positioning result obtained through the probabilistic method was within 1 m and had a more consistent trajectory. Moreover, the impact of the number of iBeacons on the positioning accuracy has been discussed, and a reference for iBeacon placement has been provided. In addition, an experiment was also conducted on the effect of signal transmission frequency on accuracy.

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“…Therefore, indoor positioning systems (IPS) rely on nearby access points (AP) instead of satellites. The localized nature of an IPS has resulted in design fragmentation, with systems making use of various optical [2], radio [3] [4], or even acoustic [5] technologies.…”

Section: Introductionmentioning

confidence: 99%

Floor determination for positioning in multi-story building

Rahman

Dashti²,

Zhang

2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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WiFi access points (APs) are nowadays ubiquitous in multi-level buildings to provide uninterrupted network access to mobile users. WiFi signals are the widely recognized option to provide feasible indoor positioning system (IPS). However majority of IP research concentrates on 2D positioning compared to vertical or floor level determination. To date the most reliable floor determination techniques based on WiFi signals use fingerprinting approaches. However, fingerprint (FP) method is computationally extensive due to its large database size. This paper proposed a new computationally efficient floor determination system based on reduced database. The performance of proposed algorithm is tested using real-world measurement and is compared against other few available floor determination algorithms. The experiment shows that the proposed method outperforms other floor positioning methods by utilizing only 14% of original FP database size.

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Ultrasonic device localization and its potential for wireless sensor network security

Cited by 13 publications

References 15 publications

Ultrasonic locating system optimized for low cost, high efficiency and secure application

Ultrasonic locating system optimized for low cost, high efficiency and secure application

Probability-Based Indoor Positioning Algorithm Using iBeacons

Floor determination for positioning in multi-story building

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