RSS-based localization using delta method with unknown transmit power
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Nguyen, T.L.N. | - |
dc.contributor.author | Shin, Y. | - |
dc.date.available | 2019-04-10T10:15:00Z | - |
dc.date.created | 2018-04-17 | - |
dc.date.issued | 2015 | - |
dc.identifier.isbn | 9781479989935 | - |
dc.identifier.issn | 2165-8528 | - |
dc.identifier.uri | http://scholarworks.bwise.kr/ssu/handle/2018.sw.ssu/32640 | - |
dc.description.abstract | This paper proposes a new approach to solve the localization problem in wireless sensor networks with received signal strength measurements by using delta method, when the transmit power is unknown. We transform the radio path loss model to an equivalent form in order to get an alternative optimization problem which is much easier to solve and the global optimization solution can be obtained. Simulation results show the effectiveness of this scheme in a certain non-cooperative localization scenario. © 2015 IEEE. | - |
dc.publisher | IEEE Computer Society | - |
dc.relation.isPartOf | International Conference on Ubiquitous and Future Networks, ICUFN | - |
dc.title | RSS-based localization using delta method with unknown transmit power | - |
dc.type | Conference | - |
dc.identifier.doi | 10.1109/ICUFN.2015.7182502 | - |
dc.type.rims | CONF | - |
dc.identifier.bibliographicCitation | 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015, v.2015-August, pp.75 - 76 | - |
dc.identifier.scopusid | 2-s2.0-84944681444 | - |
dc.citation.conferenceDate | 2015-07-07 | - |
dc.citation.endPage | 76 | - |
dc.citation.startPage | 75 | - |
dc.citation.title | 7th International Conference on Ubiquitous and Future Networks, ICUFN 2015 | - |
dc.citation.volume | 2015-August | - |
dc.contributor.affiliatedAuthor | Shin, Y. | - |
dc.type.docType | Conference Paper | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Soongsil University Library 369 Sangdo-Ro, Dongjak-Gu, Seoul, Korea (06978)02-820-0733
COPYRIGHT ⓒ SOONGSIL UNIVERSITY, ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.