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Sensor network localization with imprecise distances

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Cao, Ming; Anderson, Brian; Morse, A Stephen

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An approach to formulate geometric relations among distances between nodes as equality constraints is introduced in this paper to study the localization problem with imprecise distance information in sensor networks. These constraints can be further used

dc.contributor.authorCao, Ming
dc.contributor.authorAnderson, Brian
dc.contributor.authorMorse, A Stephen
dc.date.accessioned2015-12-07T22:13:44Z
dc.identifier.issn0167-6911
dc.identifier.urihttp://hdl.handle.net/1885/17136
dc.description.abstractAn approach to formulate geometric relations among distances between nodes as equality constraints is introduced in this paper to study the localization problem with imprecise distance information in sensor networks. These constraints can be further used
dc.publisherElsevier
dc.sourceSystems and Control Letters
dc.subjectKeywords: Algorithms; Computation theory; Constraint theory; Optimization; Problem solving; Anchor nodes; Distance estimation; Distance geometry; Localization; Sensor network; Sensors Distance geometry; Localization; Optimization; Sensor networks
dc.titleSensor network localization with imprecise distances
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume55
dc.date.issued2006
local.identifier.absfor080503 - Networking and Communications
local.identifier.ariespublicationu3594520xPUB1
local.type.statusPublished Version
local.contributor.affiliationCao, Ming, Yale University
local.contributor.affiliationAnderson, Brian, College of Engineering and Computer Science, ANU
local.contributor.affiliationMorse, A Stephen, Yale University
local.description.embargo2037-12-31
local.bibliographicCitation.issue11
local.bibliographicCitation.startpage887
local.bibliographicCitation.lastpage893
local.identifier.doi10.1016/j.sysconle.2006.05.004
dc.date.updated2015-12-07T07:18:58Z
local.identifier.scopusID2-s2.0-33748417260
CollectionsANU Research Publications

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