FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100181959> ?p ?o ?g. }

• W3100181959 endingPage "6620" @default.
• W3100181959 startingPage "6607" @default.
• W3100181959 abstract "In this paper, the unlabeled target localization problem in a wireless sensor network is addressed. Sensors of the network are deployed in a two-dimensional surveyed area and measure their distance to a target. A central unit processes the data delivered by the sensors and is tasked to infer the position of a target, but it must do so without knowing the association between the received data and the identity of the delivering sensors. This setting of unlabeled inference is attracting much attention in recent years due to its relevance to emerging applications involving big data. The present article exploits the underlying geometrical structure of the inference problem to develop two unlabeled localization approaches based on range measurements, referred to as partition and intersection points methods, respectively. The design of these methods is based on analytical results while their performance assessment is conducted by computer experiments. We find that the partition method should be preferred in the regime of low signal-to-noise ratio and networks consisting of a small number of sensors, while the intersection points method is more suitable to solve the target localization problem with large networks." @default.
• W3100181959 created "2020-11-23" @default.
• W3100181959 creator A5032238025 @default.
• W3100181959 creator A5061181973 @default.
• W3100181959 creator A5066037007 @default.
• W3100181959 creator A5088577155 @default.
• W3100181959 date "2020-01-01" @default.
• W3100181959 modified "2023-10-17" @default.
• W3100181959 title "Target Localization by Unlabeled Range Measurements" @default.
• W3100181959 cites W1460189015 @default.
• W3100181959 cites W1970503897 @default.
• W3100181959 cites W2014613182 @default.
• W3100181959 cites W2039715928 @default.
• W3100181959 cites W2039975627 @default.
• W3100181959 cites W2082715409 @default.
• W3100181959 cites W2100989187 @default.
• W3100181959 cites W2107376953 @default.
• W3100181959 cites W2111017520 @default.
• W3100181959 cites W2114404361 @default.
• W3100181959 cites W2126076156 @default.
• W3100181959 cites W2128697345 @default.
• W3100181959 cites W2133353795 @default.
• W3100181959 cites W2135930857 @default.
• W3100181959 cites W2144936371 @default.
• W3100181959 cites W2148537313 @default.
• W3100181959 cites W2151417896 @default.
• W3100181959 cites W2164308154 @default.
• W3100181959 cites W2165483665 @default.
• W3100181959 cites W2293516203 @default.
• W3100181959 cites W2338603755 @default.
• W3100181959 cites W2403882977 @default.
• W3100181959 cites W2523418172 @default.
• W3100181959 cites W2585735816 @default.
• W3100181959 cites W2588855895 @default.
• W3100181959 cites W2590502510 @default.
• W3100181959 cites W2594646510 @default.
• W3100181959 cites W2606743889 @default.
• W3100181959 cites W2616217648 @default.
• W3100181959 cites W2768422320 @default.
• W3100181959 cites W2792381516 @default.
• W3100181959 cites W2805385351 @default.
• W3100181959 cites W2885620227 @default.
• W3100181959 cites W2890942945 @default.
• W3100181959 cites W2897962819 @default.
• W3100181959 cites W2912522929 @default.
• W3100181959 cites W2914574289 @default.
• W3100181959 cites W2936405054 @default.
• W3100181959 cites W2936779044 @default.
• W3100181959 cites W2949905859 @default.
• W3100181959 cites W2963572345 @default.
• W3100181959 cites W2963755373 @default.
• W3100181959 cites W2987753910 @default.
• W3100181959 cites W3007679270 @default.
• W3100181959 cites W3019050904 @default.
• W3100181959 cites W3098206614 @default.
• W3100181959 cites W3125560255 @default.
• W3100181959 doi "https://doi.org/10.1109/tsp.2020.3038230" @default.
• W3100181959 hasPublicationYear "2020" @default.
• W3100181959 type Work @default.
• W3100181959 sameAs 3100181959 @default.
• W3100181959 citedByCount "7" @default.
• W3100181959 countsByYear W31001819592021 @default.
• W3100181959 countsByYear W31001819592022 @default.
• W3100181959 countsByYear W31001819592023 @default.
• W3100181959 crossrefType "journal-article" @default.
• W3100181959 hasAuthorship W3100181959A5032238025 @default.
• W3100181959 hasAuthorship W3100181959A5061181973 @default.
• W3100181959 hasAuthorship W3100181959A5066037007 @default.
• W3100181959 hasAuthorship W3100181959A5088577155 @default.
• W3100181959 hasConcept C114614502 @default.
• W3100181959 hasConcept C119857082 @default.
• W3100181959 hasConcept C124101348 @default.
• W3100181959 hasConcept C127413603 @default.
• W3100181959 hasConcept C146978453 @default.
• W3100181959 hasConcept C153180895 @default.
• W3100181959 hasConcept C154945302 @default.
• W3100181959 hasConcept C158154518 @default.
• W3100181959 hasConcept C159985019 @default.
• W3100181959 hasConcept C165696696 @default.
• W3100181959 hasConcept C17744445 @default.
• W3100181959 hasConcept C192562407 @default.
• W3100181959 hasConcept C199539241 @default.
• W3100181959 hasConcept C204323151 @default.
• W3100181959 hasConcept C24590314 @default.
• W3100181959 hasConcept C2776214188 @default.
• W3100181959 hasConcept C31258907 @default.
• W3100181959 hasConcept C33923547 @default.
• W3100181959 hasConcept C38652104 @default.
• W3100181959 hasConcept C41008148 @default.
• W3100181959 hasConcept C42812 @default.
• W3100181959 hasConcept C64543145 @default.
• W3100181959 hasConceptScore W3100181959C114614502 @default.
• W3100181959 hasConceptScore W3100181959C119857082 @default.
• W3100181959 hasConceptScore W3100181959C124101348 @default.
• W3100181959 hasConceptScore W3100181959C127413603 @default.
• W3100181959 hasConceptScore W3100181959C146978453 @default.
• W3100181959 hasConceptScore W3100181959C153180895 @default.
• W3100181959 hasConceptScore W3100181959C154945302 @default.

• next