Measuring Round Trip Times to Determine the Distance Between WLAN Nodes

Gunther, A.; Hoene, Christian

doi:10.1007/11422778_62

Cited by 133 publications

(82 citation statements)

References 10 publications

(12 reference statements)

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“…Back then, [12] suggested that the accuracy of spacing between a DATA and ACK frame that are defined to be separated by a SIFS time is up to µs, equal to m of error, and too high for indoor localization. However, the technique was studied in [6,9,11,15] (subjected to variable jitter and very high dispersion), and later refined in [7,8,14] showing that better accuracy is achievable than the wortcase bound dictated by the maximum SIFS tolerance.…”

Section: Wifi Tof Ranging Techniquementioning

confidence: 99%

Filtering Noisy 802.11 Time-of-Flight Ranging Measurements

Marcaletti

Rea

Giustiniano

et al. 2014

Proceedings of the 10th ACM International on Conference on Emerging Networking Experiments and Technologies

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Time-of-Flight (ToF) echo techniques have been proposed as a way to estimate the range between regular Wi-Fi stations. Recent works either did not address practical questions for deployability, or made evaluations in basic setups, or used advanced 802.11 hardware designs. We build an approach solely deployed using ToF measurements and relying on software access point (AP) upgrades of simple commercial off-the-shelf 802.11 chipsets. Our solution filters noisy measurements collected by WiFi chipsets of six dollars each, it has been tested across different and heterogeneous setups and testbeds, and has the potential to enable ToF ranging in every Wi-Fi chipsets.

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Section: Wifi Tof Ranging Techniquementioning

confidence: 99%

Filtering Noisy 802.11 Time-of-Flight Ranging Measurements

Marcaletti

Rea

Giustiniano

et al. 2014

Proceedings of the 10th ACM International on Conference on Emerging Networking Experiments and Technologies

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“…In addition, after transmitting the signal, the source must also make its transmit time known, incurring additional communication overhead. This can be avoided by employing a round-trip TOA method [51], whereby Node A transmits a signal to Node B. Upon signal reception, Node B transmits a signal back, and Node A observes the round-trip time, accounting for deterministic delay during the communication process.…”

Section: Measurement Phasementioning

confidence: 99%

A Survey on Localization for Mobile Wireless Sensor Networks

Amundson

Koutsoukos

2009

Lecture Notes in Computer Science

252

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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“…Analyzing roundtrip messaging times between access points and clients is proposed by Gunther et al [11]. Youssef et al [29] achieve asynchronous timing measurements through the use of modified hardware.…”

Section: Related Workmentioning

confidence: 99%

Constructing Secure Localization Systems with Adjustable Granularity Using Commodity Hardware

Traynor

Schiffman

Porta

et al. 2010

2010 IEEE Global Telecommunications Conference GLOBECOM 2010

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Abstract-Proof of a user's identity is not always a sufficient means for making an authorization decision. In an increasing set of circumstances, knowledge of physical location provides additional and necessary context for making decisions about resource access. For example, sensitive information stored on a laptop (e.g. customer records, social security numbers, etc), may require additional protections if a user operates outside of an approved area. However, current localization techniques based on signal strength reporting or specialized hardware fail to achieve this goal. In this paper, we design, develop, deploy and measure a system which securely determines the location of a user to within one meter through using only off-the-shelf 802.11 and Bluetooth equipment. We apply this equipment in a two-phased challengeresponse protocol: first determining the general area of the client in the Regionalization phase and then pinpointing it in the Localization phase. Using nearly 32,000 data points collected over 75 days, we argue that the stability of wireless networks over time creates easily distinguishable location profiles by which a client can be positioned. Additionally, we demonstrate the inherent ability of a two-phased protocol to discern a client's location information at a level of granularity no finer than is necessitated by policy. After discussing a number of applications, we build a location-based access control framework that automatically protects a white-listed set of resources through encryption when the user leaves specified areas. Our analyses show that this system provides a realistic and efficient means of incorporating unforgeable location information at the appropriate level of granularity into many authorization decisions.

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Measuring Round Trip Times to Determine the Distance Between WLAN Nodes

Cited by 133 publications

References 10 publications

Filtering Noisy 802.11 Time-of-Flight Ranging Measurements

Filtering Noisy 802.11 Time-of-Flight Ranging Measurements

A Survey on Localization for Mobile Wireless Sensor Networks

Constructing Secure Localization Systems with Adjustable Granularity Using Commodity Hardware

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