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Proceedings ArticleDOI

Radio interferometric geolocation

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TLDR
A novel radio interference based sensor localization method for wireless sensor networks that does not require any sensors other than the radio used for wireless communication and has an average localization error as small as 3 cm and a range of up to 160 meters.
Abstract
We present a novel radio interference based sensor localization method for wireless sensor networks. The technique relies on a pair of nodes emitting radio waves simultaneously at slightly different frequencies. The carrier frequency of the composite signal is between the two frequencies, but has a very low frequency envelope. Neighboring nodes can measure the energy of the envelope signal as the signal strength. The relative phase offset of this signal measured at two receivers is a function of the distances between the four nodes involved and the carrier frequency. By making multiple measurements in an at least 8-node network, it is possible to reconstruct the relative location of the nodes in 3D. Our prototype implementation on the MICA2 platform yields an average localization error as small as 3 cm and a range of up to 160 meters. In addition to this high precision and long range, the other main advantage of the Radio Interferometric Positioning System (RIPS) is the fact that it does not require any sensors other than the radio used for wireless communication.

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Dissertation

Spatio-temporal awareness in mobile wireless sensor networks

TL;DR: This dissertation develops techniques for the synchronization, localization and navigation of resource-constrained mobile sensors, including a time synchronization protocol for heterogeneous sensor networks, localization techniques in which sensor nodes measure the phase and Doppler-shift in frequency of an RF interference signal, and waypoint navigation.
Dissertation

Efficient techniques and algorithms for sensor network localization

Wenchao Li
TL;DR: The phase ambiguity issues and practical solutions when radio waves are used to measure distance and time with applications to the localization problems in a wireless sensor network are studied and the maximum likelihood estimator (MLE) is shown to be consistent in both cases under some mild conditions.
Journal ArticleDOI

Closed-form, robust and accurate multi-frequency phase unwrapping: Frequency design and algorithm

TL;DR: A closed-form algorithm, named "concerto", is proposed for phase-based distance estimation in multi-frequency phase unwrapping (MFPU) system that outperforms these methods both in accuracy and reliability and can asymptotically achieve the Cramer-Rao bound (CRB).
Proceedings Article

Distributed self-localisation in sensor networks using RIPS measurements

TL;DR: An efficient distributed algorithm for localising motes in a large scale sensor network using radio interferometric positioning using a relatively small number of measurements, where the effects of noise are largely ignored.
Journal ArticleDOI

An Acoustic-Based Encounter Profiling System

TL;DR: DopEnc automatically identifies the persons that users interact with in the context of encountering and is extended to support parallel acoustic exploration of many users by incorporating a unique multiple access scheme within the limited inaudible acoustic frequency band.
References
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Proceedings ArticleDOI

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Proceedings ArticleDOI

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Journal ArticleDOI

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