Behboodi, A

Crombez, P

de las Heras, JJ

De Poorter, Eli

Handziski, V

Lemić, F

Moerman, Ingrid

Van Haute, Tom

Verhoeve, P

Voigt, T

Wiströn, N

Wolisz, A

English

Ghent University Academic Bibliography

Evaluation of RF-based Indoor LocalizationSolutions for the Future InternetArash BEHBOODI1, Pieter CROMBEZ2,Jose Javier DE LAS HERAS3, Eli DE POORTER4, Vlado HANDZISKI1,Filip LEMIC1, Ingrid MOERMAN4,Tom VAN HAUTE4, Piet VERHOEVE2, Thiemo VOIGT5, Niklas WIRSTRÖM5,Adam WOLISZ11Telecommunication Networks Group - TU Berlin, Germany, 2Televic Health Care NV, Izegem, Belgium, 3AdvanticSistemas y Servicios, Madrid, Spain, 4iMinds, Ghent, Belgium ,5SICS Swedish ICT, Kista, Sweden3-5 July 2013 Future Network and Mobile Summit 2013 Lisbon, PortugalOverviewI Abundance of works on RF-based indoor localization solutionsI Evaluated under individual, not comparable, and not repeatable conditionsI No unified scheme provided for the fair comparison and evaluation of varioussolutionsEVARILOSDevelopment of the benchmarking methodology which consists of providingmetrics for evaluation of RF-based indoor localization solutionsOutcomes:I Public handbook on the use of the EVARILOS benchmarking methodologyI The EVARILOS benchmarking suite. Publicly available under open source licenses. Implemented in two different testbeds belonging to the FIRE facilities (TWISTand w-iLab.t)I An open challenge: Using the above mentioned testbeds to invite externalexperimenters for evaluation of their localization solutionsI Contributing to the international standardization project (ISO/IEC 18305 )Benchmarking MethodologyMetrics: the performance of different localization solutions given in form of metricsI Definition and instructions for collecting the necessary measurementsI Mathematical formula for deriving the metric value out of the measurementsScenarios:I Environment specificationsI Setup descriptions: measurement point specificationI Metrics specificationFinal score: Application dependent weighting factors for the calculation of the finalranking scoreApplication domains: health care and underground miningMetrics for Evaluation of Localization SolutionsI Performance metrics. Primary metrics (accuracy, latency). Derived metrics (robustness, scalability, etc.)I Functional metrics: non-performance related attributes like the underlyingtechnology, licensing modalities, open-source availability, etcI Deployment metrics: properties related to the efforts and costs needed for physicalinstallation, configuration, and replacement timePrimary Performance MetricsAccuracy:I Point accuracy: the actual Euclidean error distance between a reference point anda measured pointI Room accuracy: the room confusion matrix created by the instances of predictedrooms and actual roomsLatency:I The time that system needs in order to update the location after the request forlocation estimationI Measured by the time interval between the beginning and end of localizationprocedure of a nodeEnergy Efficiency: important particularly for battery-operated wireless sensor networksDerived Performance MetricsInterference Robustness:I Characterized by the variation of primary metrics with the interferenceEnvironmental Robustness: stability of a solution in different environmentsI Difficulties of indoor environment: susceptible to change by variation of networktopology, room layout, walls, and channel conditionsI Characterized by the variation of primary metrics with the environmentMobility:I Mobility of users: low-mobility and high-mobility regimeI Characterized by the variation of primary metrics with the mobility regimeScalability:I Performance variation of the localization schemes in sparse and dense networksI Characterized by the variation of primary metrics with the density of the nodesRepeatability:I The same benchmark run twice is expected to result in the same scoreI Characterized by the variation of primary metrics after multiple re-installationInterference Robustness and Environmental AwarenessUtilize the information gathered for environmental awareness and coexistenceI Adjust the expected precision based on the amount of expected interferenceI Development of a new class of approaches to combat interference drawbacksThis work has been partially funded by the European Commission(FP7-ICT-FIRE) within the Project EVARILOS (grant No. 317989).

Evaluation of RF-based indoor localization solutions for the future internet

https://biblio.ugent.be/publication/5732907/file/5732908.pdf

Evaluation of RF-based indoor localization solutions for the future internet

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Ghent University Academic Bibliography