Matches in SemOpenAlex for { <https://semopenalex.org/work/W2092911699> ?p ?o ?g. }
- W2092911699 endingPage "2383" @default.
- W2092911699 startingPage "2376" @default.
- W2092911699 abstract "This paper proposes two methods for maximizing the lifetime of the cognitive sensor networks by focusing on node selection criteria for spectrum sensing in such networks. We maximize the network lifetime with constraints on the detection performance by determining the sensors, which sense the spectrum. This is a NP-complete problem and cannot be solved by standard methods. Therefore, we relax it to a more tractable form. Based on convex optimization framework, the optimal conditions are obtained and the sensors, which sense the spectrum, are determined. Simulation results show that our proposed algorithm is very efficient in terms of network lifetime maximization." @default.
- W2092911699 created "2016-06-24" @default.
- W2092911699 creator A5033272987 @default.
- W2092911699 creator A5054904611 @default.
- W2092911699 creator A5056729053 @default.
- W2092911699 creator A5089474071 @default.
- W2092911699 date "2014-07-01" @default.
- W2092911699 modified "2023-10-16" @default.
- W2092911699 title "Lifetime Maximization in Cognitive Sensor Networks Based on the Node Selection" @default.
- W2092911699 cites W1977656473 @default.
- W2092911699 cites W1989714417 @default.
- W2092911699 cites W2013171406 @default.
- W2092911699 cites W2025411441 @default.
- W2092911699 cites W2061560193 @default.
- W2092911699 cites W2081989110 @default.
- W2092911699 cites W2084436032 @default.
- W2092911699 cites W2106422674 @default.
- W2092911699 cites W2114786478 @default.
- W2092911699 cites W2127040151 @default.
- W2092911699 cites W2130403046 @default.
- W2092911699 cites W2145231416 @default.
- W2092911699 cites W2150052518 @default.
- W2092911699 cites W2150397642 @default.
- W2092911699 cites W2154621370 @default.
- W2092911699 cites W2157548219 @default.
- W2092911699 cites W2157778521 @default.
- W2092911699 cites W2159361138 @default.
- W2092911699 cites W2161272050 @default.
- W2092911699 cites W2170239483 @default.
- W2092911699 cites W3147028311 @default.
- W2092911699 cites W4250589301 @default.
- W2092911699 doi "https://doi.org/10.1109/jsen.2014.2311154" @default.
- W2092911699 hasPublicationYear "2014" @default.
- W2092911699 type Work @default.
- W2092911699 sameAs 2092911699 @default.
- W2092911699 citedByCount "43" @default.
- W2092911699 countsByYear W20929116992015 @default.
- W2092911699 countsByYear W20929116992016 @default.
- W2092911699 countsByYear W20929116992017 @default.
- W2092911699 countsByYear W20929116992018 @default.
- W2092911699 countsByYear W20929116992019 @default.
- W2092911699 countsByYear W20929116992020 @default.
- W2092911699 countsByYear W20929116992021 @default.
- W2092911699 countsByYear W20929116992022 @default.
- W2092911699 countsByYear W20929116992023 @default.
- W2092911699 crossrefType "journal-article" @default.
- W2092911699 hasAuthorship W2092911699A5033272987 @default.
- W2092911699 hasAuthorship W2092911699A5054904611 @default.
- W2092911699 hasAuthorship W2092911699A5056729053 @default.
- W2092911699 hasAuthorship W2092911699A5089474071 @default.
- W2092911699 hasConcept C112680207 @default.
- W2092911699 hasConcept C11413529 @default.
- W2092911699 hasConcept C121332964 @default.
- W2092911699 hasConcept C126255220 @default.
- W2092911699 hasConcept C127413603 @default.
- W2092911699 hasConcept C137836250 @default.
- W2092911699 hasConcept C149946192 @default.
- W2092911699 hasConcept C154945302 @default.
- W2092911699 hasConcept C156778621 @default.
- W2092911699 hasConcept C157972887 @default.
- W2092911699 hasConcept C24590314 @default.
- W2092911699 hasConcept C2524010 @default.
- W2092911699 hasConcept C2776330181 @default.
- W2092911699 hasConcept C31258907 @default.
- W2092911699 hasConcept C33923547 @default.
- W2092911699 hasConcept C41008148 @default.
- W2092911699 hasConcept C555944384 @default.
- W2092911699 hasConcept C62520636 @default.
- W2092911699 hasConcept C62611344 @default.
- W2092911699 hasConcept C66938386 @default.
- W2092911699 hasConcept C76155785 @default.
- W2092911699 hasConcept C81917197 @default.
- W2092911699 hasConceptScore W2092911699C112680207 @default.
- W2092911699 hasConceptScore W2092911699C11413529 @default.
- W2092911699 hasConceptScore W2092911699C121332964 @default.
- W2092911699 hasConceptScore W2092911699C126255220 @default.
- W2092911699 hasConceptScore W2092911699C127413603 @default.
- W2092911699 hasConceptScore W2092911699C137836250 @default.
- W2092911699 hasConceptScore W2092911699C149946192 @default.
- W2092911699 hasConceptScore W2092911699C154945302 @default.
- W2092911699 hasConceptScore W2092911699C156778621 @default.
- W2092911699 hasConceptScore W2092911699C157972887 @default.
- W2092911699 hasConceptScore W2092911699C24590314 @default.
- W2092911699 hasConceptScore W2092911699C2524010 @default.
- W2092911699 hasConceptScore W2092911699C2776330181 @default.
- W2092911699 hasConceptScore W2092911699C31258907 @default.
- W2092911699 hasConceptScore W2092911699C33923547 @default.
- W2092911699 hasConceptScore W2092911699C41008148 @default.
- W2092911699 hasConceptScore W2092911699C555944384 @default.
- W2092911699 hasConceptScore W2092911699C62520636 @default.
- W2092911699 hasConceptScore W2092911699C62611344 @default.
- W2092911699 hasConceptScore W2092911699C66938386 @default.
- W2092911699 hasConceptScore W2092911699C76155785 @default.
- W2092911699 hasConceptScore W2092911699C81917197 @default.
- W2092911699 hasIssue "7" @default.
- W2092911699 hasLocation W20929116991 @default.
- W2092911699 hasOpenAccess W2092911699 @default.
- W2092911699 hasPrimaryLocation W20929116991 @default.