Spinning beacons for precise indoor localization

Chang, Ho-Lin; Tian, Jr-ben; Lai, Tsung-te (Ted); Chu, Hao-Hua; Huang, Polly

doi:10.1145/1460412.1460426

Cited by 90 publications

(52 citation statements)

References 29 publications

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“…The Doppler shift-based SpinLoc localization system presented in Chang et al (2008) uses MICA2 type CC1000 equipped sensor nodes both for anchor nodes and target nodes, where the rotating-antenna transmitter anchors are physically rotated on a 50 cm radius arm, at 133 revolutions per minute (RPM) by a servo motor. The measurements use the 900 MHz band to generate the 600 Hz interference signal and measure its frequency change.…”

Section: Platform Description and Resultsmentioning

confidence: 99%

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Interferometry in Wireless Sensor Networks

Szilvasi¹,

Völgyesi²,

Sallai³

et al. 2012

Interferometry - Research and Applications in Science and Technology

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Section: Platform Description and Resultsmentioning

confidence: 99%

“…Lédeczi et al (2008) and Chang et al (2008) proposed the idea to use physically rotating anchor nodes in WSNs for node self-localization. Their underlying approach is similar to the one used for mobile node tracking, described in Section 3, in many aspects.…”

Section: Doppler Shift-based Localizationmentioning

confidence: 99%

Interferometry in Wireless Sensor Networks

Szilvasi¹,

Völgyesi²,

Sallai³

et al. 2012

Interferometry - Research and Applications in Science and Technology

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“…This is improved in [29] [30] used Doppler effect work to track mobile target and improve the system accuracy. Although these work have excellent positional accuracy and sensing range in outdoor environments, they are unsuitable for indoor environment due to severe multipath effect indoors.…”

Section: Related Workmentioning

confidence: 99%

MODLoc: Localizing Multiple Objects in Dynamic Indoor Environment

Guo

Zhang

et al. 2014

IEEE Trans. Parallel Distrib. Syst.

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Abstract-Radio Frequency (RF) based technologies play an important role in indoor localization, since Radio Signal Strength (RSS) can be easily measured by various wireless devices without additional cost. Among these, radio map based technologies (also referred as fingerprinting technologies) are attractive due to high accuracy and easy deployment. However, these technologies have not been extensively applied on real environment for two fatal limitations. First, it is hard to localize multiple objects. When the number of target objects is unknown, constructing a radio map of multiple objects is almost impossible. Second, environment changes will generate different multipath signals and severely disturb the RSS measurement, making laborious retraining inevitable. Motivated by these, in this paper, we propose a novel approach, called Line-of-sight radio map matching, which only reserves the LOS signal among nodes. It leverages frequency diversity to eliminate the multipath behavior, making RSS more reliable than before. We implement our system MODLoc based on TelosB sensor nodes and commercial 802.11 NICs with Channel State Information (CSI) as well. Through extensive experiments, it shows that the accuracy does not decrease when localizing multiple targets in a dynamic environment. Our work outperforms the traditional methods by about 60%. More importantly, no calibration is required in such environment. Furthermore, our approach presents attractive flexibility, making it more appropriate for general RF-based localization studies than just the radio map based localization.

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“…Recently, there have been several published techniques that determine the position of a node based on the observed frequency of a signal [9], [6], [56], [57]. Signal frequency will undergo Doppler-shift when the transmitter and receiver are moving relative to one another.…”

Section: Measurement Phasementioning

confidence: 99%

A Survey on Localization for Mobile Wireless Sensor Networks

Amundson

Koutsoukos

2009

Lecture Notes in Computer Science

255

142

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Abstract. Over the past decade we have witnessed the evolution of wireless sensor networks, with advancements in hardware design, communication protocols, resource efficiency, and other aspects. Recently, there has been much focus on mobile sensor networks, and we have even seen the development of small-profile sensing devices that are able to control their own movement. Although it has been shown that mobility alleviates several issues relating to sensor network coverage and connectivity, many challenges remain. Among these, the need for position estimation is perhaps the most important. Not only is localization required to understand sensor data in a spatial context, but also for navigation, a key feature of mobile sensors. In this paper, we present a survey on localization methods for mobile wireless sensor networks. We provide taxonomies for mobile wireless sensors and localization, including common architectures, measurement techniques, and localization algorithms. We conclude with a description of real-world mobile sensor applications that require position estimation.

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Spinning beacons for precise indoor localization

Cited by 90 publications

References 29 publications

Interferometry in Wireless Sensor Networks

Interferometry in Wireless Sensor Networks

MODLoc: Localizing Multiple Objects in Dynamic Indoor Environment

A Survey on Localization for Mobile Wireless Sensor Networks

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