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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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Book ChapterDOI

Localization in Wireless Sensor Networks

Lin Li, +1 more
Proceedings ArticleDOI

An overview of range detection techniques for wireless sensor networks

TL;DR: Some basic measurement principles of range detection for WSN and some available range detection systems are introduced and several signal processing algorithms used for range detection are discussed.
Proceedings ArticleDOI

Localizing Multiple Objects in an RF-based Dynamic Environment

TL;DR: A novel method, called Line-Of-Sight (LOS) map matching, which leverages frequency diversity of wireless nodes to eliminate the multipath behavior, making RSS more reliable than before and outperforms the traditional methods by about60%.

Research Roadmap on Cooperating Objects (CONET Roadmap 2009)

TL;DR: The research Roadmap on Cooperating Objects Pedro José Marrón, Stamatis Karnouskos, Daniel Minder and the CONET consortium is presented, which aims to provide a road map for the development of smart cities in Europe.
Journal ArticleDOI

Signal Reconstruction from Interferometric Measurements under Sensing Constraints

TL;DR: In this paper, the problem of signal reconstruction from interferometric measurements is considered as a basis analysis problem, with measurements that are linear in the basis coefficients, and it is shown that compressive signal recovery is achievable without introducing any additional randomization to the measurement setup.
References
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Proceedings ArticleDOI

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