A study of localization metrics: evaluation of position errors in wireless sensor networks

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dc.citation.epage3577en_US
dc.citation.issueNumber15en_US
dc.citation.spage3562en_US
dc.citation.volumeNumber55en_US
dc.contributor.authorAksu, H.en_US
dc.contributor.authorAksoy, D.en_US
dc.contributor.authorKorpeoglu, I.en_US
dc.date.accessioned2016-02-08T09:50:35Z
dc.date.available2016-02-08T09:50:35Z
dc.date.issued2011en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractFor wireless sensor network applications that require location information for sensor nodes, locations of nodes can be estimated by a number of localization algorithms, which inevitably may introduce various types of errors in their estimations. How an application is affected from errors and a location error metric's response to errors may depend on the error characteristics. Therefore it is important to use the right error metric to evaluate the error performance of alternative localization techniques that is possible to use for an application. To date, unfortunately, only simplistic error metrics that depend on the Euclidean distance between an actual node position and its estimate in isolation to the rest of the network has been considered for evaluation of localization algorithms. In this paper, we first clarify the problem with this traditional approach and then propose some alternative and new metrics that consider an overall network topology and its estimate in computing a metric value. We compared the existing and new metrics via simulation experiments done using some typical application and error scenarios, and observed that some new metrics are more sensitive to some type of errors and therefore can distinguish better among alternative localization algorithms for applications that are more sensitive to those types of errors. We also go through a case study with some localization algorithms from literature to give an idea about the practical use of our approach. Finally, we provide a step-by-step guideline for selecting the best metric to use for a given sensor network application. © 2011 Elsevier B.V. All rights reserved.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T09:50:35Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2011en
dc.identifier.doi10.1016/j.comnet.2011.06.023en_US
dc.identifier.issn1389-1286
dc.identifier.urihttp://hdl.handle.net/11693/21743
dc.language.isoEnglishen_US
dc.publisherElsevier BVen_US
dc.relation.isversionofhttp://dx.doi.org/10.1016/j.comnet.2011.06.023en_US
dc.source.titleComputer Networksen_US
dc.subjectAccuracyen_US
dc.subjectLocalizationen_US
dc.subjectRelative accuracyen_US
dc.subjectTopology similarityen_US
dc.subjectWireless sensor networksen_US
dc.titleA study of localization metrics: evaluation of position errors in wireless sensor networksen_US
dc.typeArticleen_US

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