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dc.contributor.authorTan, Xin
dc.contributor.authorSun, Zhi
dc.contributor.authorWang, Pu
dc.date.accessioned2016-04-22T15:29:00Z
dc.date.available2016-04-22T15:29:00Z
dc.date.issued2015-06
dc.identifier.citationX. Tan, Z. Sun and P. Wang, "On localization for magnetic induction-based wireless sensor networks in pipeline environments," 2015 IEEE International Conference on Communications (ICC), London, 2015, pp. 2780-2785en_US
dc.identifier.isbn978-1-4673-6432-4
dc.identifier.issn1550-3607
dc.identifier.otherWOS:000371708102163
dc.identifier.urihttp://dx.doi.org/10.1109/ICC.2015.7248747
dc.identifier.urihttp://hdl.handle.net/10057/12017
dc.descriptionClick on the DOI link to access the article (may not be free).en_US
dc.description.abstractThe wireless sensor networks can enable the real-time monitoring in the pipeline environments, which can facilitate important applications such as structure identification and fault diagnosis. The magnetic induction (MI)-based techniques provide efficient and reliable wireless communications among sensor nodes in such challenging environments. This paper proposes a localization strategy for MI-based wireless sensor network in the complex pipeline environment without requiring any additional infrastructure. The proposed localization strategy analytically captures the unique pipeline system effects, including antenna orientations, absorption of fluid medium, reflections on pipe walls, node's position on the pipe cross section, and the pipe turns and branches. The numerical evaluation shows the proposed strategy can provide high resolution position estimation for small wireless mobile sensor nodes with arbitrary orientation and position inside the pipelines.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.relation.ispartofseriesIEEE International Conference on Communications (ICC), London, 2015;
dc.subjectSystemsen_US
dc.titleOn Localization for Magnetic Induction-based Wireless Sensor Networks in Pipeline Environmentsen_US
dc.typeConference paperen_US
dc.rights.holder© Copyright 2016 IEEE - All rights reserved.en_US


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