2009 IEEE MTT-S International Microwave Symposium Digest 2009
DOI: 10.1109/mwsym.2009.5165972
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3D positioning using spherical location algorithms for networked wireless sensors deployed in grain

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Cited by 5 publications
(2 citation statements)
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“…Find X and Z coordinates using the receiving antenna coordinates, X(i) and Z(i), corresponding to minimum value in D, X transmit =X(J(1)), Z transmit =Z(J(1)) 6. Use X transmit and Z transmit and the respective distance difference minima, in (6), to calculate the Y coordinates of the transmitting node The accuracy of the localisation method was examined using the same experimental setup (Fig.1) presented in [4]- [6] and in [10]. A transmitting node was placed at sixteen different positions (maximum depth at 1m) inside the testing vessel (positions measured manually) thus providing sixteen position estimates out of the empirical method.…”
Section: Empirical Localisation Algorithmmentioning
confidence: 99%
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“…Find X and Z coordinates using the receiving antenna coordinates, X(i) and Z(i), corresponding to minimum value in D, X transmit =X(J(1)), Z transmit =Z(J(1)) 6. Use X transmit and Z transmit and the respective distance difference minima, in (6), to calculate the Y coordinates of the transmitting node The accuracy of the localisation method was examined using the same experimental setup (Fig.1) presented in [4]- [6] and in [10]. A transmitting node was placed at sixteen different positions (maximum depth at 1m) inside the testing vessel (positions measured manually) thus providing sixteen position estimates out of the empirical method.…”
Section: Empirical Localisation Algorithmmentioning
confidence: 99%
“…The ultimate aim of using WSNs in grain silos [4]- [6] was to support the measurements of parameters such as temperature and moisture taken by sensor nodes distributed in an ad hoc manner. Recorded parameters could improve the overall understanding of the storage conditions throughout the silo.…”
Section: Introductionmentioning
confidence: 99%