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dc.contributor.authorSaeed, Nasir
dc.contributor.authorAl-Naffouri, Tareq Y.
dc.contributor.authorAlouini, Mohamed-Slim
dc.date.accessioned2018-11-25T07:17:30Z
dc.date.available2018-10-07T08:05:54Z
dc.date.available2018-11-25T07:17:30Z
dc.date.issued2018-10-10
dc.identifier.citationSaeed N, Al-Naffouri TY, Alouini M-S (2018) Outlier Detection and Optimal Anchor Placement for 3D Underwater Optical Wireless Sensor Networks Localization. IEEE Transactions on Communications: 1–1. Available: http://dx.doi.org/10.1109/TCOMM.2018.2875083.
dc.identifier.issn0090-6778
dc.identifier.issn1558-0857
dc.identifier.doi10.1109/TCOMM.2018.2875083
dc.identifier.urihttp://hdl.handle.net/10754/628879
dc.description.abstractLocation is one of the basic information required for underwater optical wireless sensor networks (UOWSNs) for different purposes such as relating the sensing measurements with precise sensor positions, enabling efficient geographic routing techniques, and sustaining link connectivity between the nodes. Even though various two-dimensional UOWSNs localization methods have been proposed in the past, the directive nature of optical wireless communications and three-dimensional (3D) deployment of sensors require to develop 3D underwater localization methods. Additionally, the localization accuracy of the network strongly depends on the placement of the anchors. Therefore, we propose a robust 3D localization method for partially connected UOWSNs which can accommodate the outliers and optimize the placement of the anchors to improve the localization accuracy. The proposed method formulates the problem of missing pairwise distances and outliers as an optimization problem which is solved through half quadratic minimization. Furthermore, analysis is provided to optimally place the anchors in the network which improves the localization accuracy. The problem of optimal anchor placement is formulated as a combination of Fisher information matrices for the sensor nodes where the condition of D-optimality is satisfied. The numerical results indicate that the proposed method outperforms the literature substantially in the presence of outliers.
dc.description.sponsorshipThis work is supported by Office of Sponsored Research (OSR) at King Abdullah University of Science and Technology (KAUST).
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttps://ieeexplore.ieee.org/document/8488506
dc.rights(c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.subjectAnchor placement
dc.subjectDistance measurement
dc.subjectLocalization
dc.subjectOptical fiber networks
dc.subjectOptical sensors
dc.subjectOptical variables measurement
dc.subjectOutliers
dc.subjectTask analysis
dc.subjectThree-dimensional
dc.subjectThree-dimensional displays
dc.subjectUnderwater optical wireless sensor networks
dc.subjectWireless sensor networks
dc.titleOutlier Detection and Optimal Anchor Placement for 3D Underwater Optical Wireless Sensor Networks Localization
dc.typeArticle
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentElectrical Engineering Program
dc.identifier.journalIEEE Transactions on Communications
dc.eprint.versionPost-print
dc.contributor.affiliationKing Abdullah University of Science and Technology (KAUST)
dc.identifier.arxivid1810.03110
kaust.personSaeed, Nasir
kaust.personAl-Naffouri, Tareq Y.
kaust.personAlouini, Mohamed-Slim
refterms.dateFOA2018-10-07T08:05:54Z
dc.date.published-online2018-10-10
dc.date.published-print2019-01


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