Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912774676> ?p ?o ?g. }
- W2912774676 endingPage "1485" @default.
- W2912774676 startingPage "1473" @default.
- W2912774676 abstract "Event localization plays a fundamental role in many wireless-sensor network applications, such as environmental monitoring, homeland security, medical treatment, and health care, and it is essentially a nonconvex and nonsmooth problem. In this paper, we address such a problem in a completely decentralized way based on augmented Lagrangian methods and alternating direction method of multipliers (ADMM). A decentralized algorithm is proposed to solve the nonsmooth and nonconvex event localization problem directly, rather than using conventional convex relaxation techniques. The avoidance of convex relaxation is significant in that convex relaxation-based methods generally suffer from high computational complexity. The convergence properties are also evaluated and substantiated using numerical simulations, which show that the proposed algorithm achieves better localization accuracy than existing projection-based approaches when the target is within the convex hull of localization sensors. When the target is outside the convex hull, numerical simulations show that the proposed approach has a higher probability to converge to the target event location than existing projection-based approaches. Numerical simulation results show that our approach is also robust to network topology changes." @default.
- W2912774676 created "2019-02-21" @default.
- W2912774676 creator A5014592284 @default.
- W2912774676 creator A5088059015 @default.
- W2912774676 date "2019-12-01" @default.
- W2912774676 modified "2023-10-15" @default.
- W2912774676 title "Sensor Network Event Localization via Nonconvex Nonsmooth ADMM and Augmented Lagrangian Methods" @default.
- W2912774676 cites W1484040084 @default.
- W2912774676 cites W1578087040 @default.
- W2912774676 cites W1841709236 @default.
- W2912774676 cites W1918739614 @default.
- W2912774676 cites W1963567492 @default.
- W2912774676 cites W1964927113 @default.
- W2912774676 cites W1977901803 @default.
- W2912774676 cites W1982692640 @default.
- W2912774676 cites W1987995897 @default.
- W2912774676 cites W2004385997 @default.
- W2912774676 cites W2005818441 @default.
- W2912774676 cites W2008141156 @default.
- W2912774676 cites W2016460936 @default.
- W2912774676 cites W2039715928 @default.
- W2912774676 cites W2045235520 @default.
- W2912774676 cites W2046387702 @default.
- W2912774676 cites W2058216388 @default.
- W2912774676 cites W2061920930 @default.
- W2912774676 cites W2079876304 @default.
- W2912774676 cites W2087892428 @default.
- W2912774676 cites W2096414356 @default.
- W2912774676 cites W2098546963 @default.
- W2912774676 cites W2101317465 @default.
- W2912774676 cites W2107376953 @default.
- W2912774676 cites W2110152333 @default.
- W2912774676 cites W2110537619 @default.
- W2912774676 cites W2113638573 @default.
- W2912774676 cites W2123705108 @default.
- W2912774676 cites W2131247345 @default.
- W2912774676 cites W2133206737 @default.
- W2912774676 cites W2134060757 @default.
- W2912774676 cites W2134112152 @default.
- W2912774676 cites W2149552123 @default.
- W2912774676 cites W2152637881 @default.
- W2912774676 cites W2154991835 @default.
- W2912774676 cites W2155865164 @default.
- W2912774676 cites W2156343212 @default.
- W2912774676 cites W2157472381 @default.
- W2912774676 cites W2168206584 @default.
- W2912774676 cites W2171847882 @default.
- W2912774676 cites W2515624991 @default.
- W2912774676 cites W2572626496 @default.
- W2912774676 cites W2605577576 @default.
- W2912774676 cites W269003556 @default.
- W2912774676 cites W2962853966 @default.
- W2912774676 cites W2962943778 @default.
- W2912774676 cites W2962964418 @default.
- W2912774676 cites W2963784016 @default.
- W2912774676 cites W2964100543 @default.
- W2912774676 cites W4292363360 @default.
- W2912774676 doi "https://doi.org/10.1109/tcns.2019.2897906" @default.
- W2912774676 hasPublicationYear "2019" @default.
- W2912774676 type Work @default.
- W2912774676 sameAs 2912774676 @default.
- W2912774676 citedByCount "7" @default.
- W2912774676 countsByYear W29127746762020 @default.
- W2912774676 countsByYear W29127746762022 @default.
- W2912774676 countsByYear W29127746762023 @default.
- W2912774676 crossrefType "journal-article" @default.
- W2912774676 hasAuthorship W2912774676A5014592284 @default.
- W2912774676 hasAuthorship W2912774676A5088059015 @default.
- W2912774676 hasBestOaLocation W29127746761 @default.
- W2912774676 hasConcept C111919701 @default.
- W2912774676 hasConcept C112680207 @default.
- W2912774676 hasConcept C11413529 @default.
- W2912774676 hasConcept C114614502 @default.
- W2912774676 hasConcept C121332964 @default.
- W2912774676 hasConcept C126255220 @default.
- W2912774676 hasConcept C150452318 @default.
- W2912774676 hasConcept C15744967 @default.
- W2912774676 hasConcept C162324750 @default.
- W2912774676 hasConcept C184720557 @default.
- W2912774676 hasConcept C199845137 @default.
- W2912774676 hasConcept C206194317 @default.
- W2912774676 hasConcept C24590314 @default.
- W2912774676 hasConcept C2524010 @default.
- W2912774676 hasConcept C2776029896 @default.
- W2912774676 hasConcept C2777303404 @default.
- W2912774676 hasConcept C2779662365 @default.
- W2912774676 hasConcept C31258907 @default.
- W2912774676 hasConcept C33923547 @default.
- W2912774676 hasConcept C41008148 @default.
- W2912774676 hasConcept C50522688 @default.
- W2912774676 hasConcept C57493831 @default.
- W2912774676 hasConcept C62520636 @default.
- W2912774676 hasConcept C77805123 @default.
- W2912774676 hasConcept C91765299 @default.
- W2912774676 hasConceptScore W2912774676C111919701 @default.
- W2912774676 hasConceptScore W2912774676C112680207 @default.
- W2912774676 hasConceptScore W2912774676C11413529 @default.
- W2912774676 hasConceptScore W2912774676C114614502 @default.