Proceedings ArticleDOI
Radio interferometric geolocation
Miklós Maróti,Peter Volgyesi,Sebestyén Dóra,Branislav Kusý,Andras Nadas,Akos Ledeczi,Gyorgy Balogh,K. Molnar +7 more
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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.read more
Citations
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Proceedings ArticleDOI
Dual-tone radio interferometric ranging using PXI
TL;DR: The experimental results show that the average errors of the ranging algorithms of uDRIPS and DRIPS can be as small as 11 cm at a range of 5 m, and the ranging performance of udRIPS outperforms that of DRIps, as the squaring operation in DRI PS amplifies the noise.
Journal ArticleDOI
Performance Analysis of the Interferometric Ranging System with Hopped Frequencies against Multi-tone Jammer
Yue Zhang,Wangdong Qi +1 more
TL;DR: The study shows that the probability of false estimation proposed here can predict the ML ranging performance of IRHF accurately and relieve the requirement of time-consuming computer simulations.
Journal Article
FLASH: Fine-Grained Localization in Wireless Sensor Networks.
Evangelos Mangas,Angelos Bilas +1 more
TL;DR: In this paper, the authors adopt a localization approach that relies on acoustic sounds and clock synchronization to achieve consistent sound pulse detection at each sensor and precise range estimation using a high-precision clock synchronization implementation.
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