Matches in SemOpenAlex for { <https://semopenalex.org/work/W2558906837> ?p ?o ?g. }
Showing items 1 to 99 of
99
with 100 items per page.
- W2558906837 endingPage "2021" @default.
- W2558906837 startingPage "2021" @default.
- W2558906837 abstract "Emerging sensor networks (ESNs) are an inevitable trend with the development of the Internet of Things (IoT), and intend to connect almost every intelligent device. Therefore, it is critical to study resource allocation in such an environment, due to the concern of efficiency, especially when resources are limited. By viewing ESNs as multi-agent environments, we model them with an agent-based modelling (ABM) method and deal with resource allocation problems with market models, after describing users' patterns. Reinforcement learning methods are introduced to estimate users' patterns and verify the outcomes in our market models. Experimental results show the efficiency of our methods, which are also capable of guiding topology management." @default.
- W2558906837 created "2016-12-08" @default.
- W2558906837 creator A5010776860 @default.
- W2558906837 creator A5035560190 @default.
- W2558906837 creator A5047257648 @default.
- W2558906837 creator A5057916222 @default.
- W2558906837 creator A5060514022 @default.
- W2558906837 date "2016-11-29" @default.
- W2558906837 modified "2023-10-18" @default.
- W2558906837 title "Market Model for Resource Allocation in Emerging Sensor Networks with Reinforcement Learning" @default.
- W2558906837 cites W1516252017 @default.
- W2558906837 cites W1943579973 @default.
- W2558906837 cites W1964886742 @default.
- W2558906837 cites W2026892459 @default.
- W2558906837 cites W2030137848 @default.
- W2558906837 cites W2058401212 @default.
- W2558906837 cites W2065370685 @default.
- W2558906837 cites W2127414816 @default.
- W2558906837 cites W2130403046 @default.
- W2558906837 cites W2145339207 @default.
- W2558906837 cites W2157646602 @default.
- W2558906837 cites W2157954477 @default.
- W2558906837 cites W2257979135 @default.
- W2558906837 cites W2270252744 @default.
- W2558906837 cites W2293320437 @default.
- W2558906837 cites W2334157998 @default.
- W2558906837 cites W2344783839 @default.
- W2558906837 cites W2476729824 @default.
- W2558906837 cites W2516246850 @default.
- W2558906837 cites W2919115771 @default.
- W2558906837 cites W616518283 @default.
- W2558906837 doi "https://doi.org/10.3390/s16122021" @default.
- W2558906837 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5191002" @default.
- W2558906837 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/27916841" @default.
- W2558906837 hasPublicationYear "2016" @default.
- W2558906837 type Work @default.
- W2558906837 sameAs 2558906837 @default.
- W2558906837 citedByCount "4" @default.
- W2558906837 countsByYear W25589068372018 @default.
- W2558906837 countsByYear W25589068372019 @default.
- W2558906837 countsByYear W25589068372020 @default.
- W2558906837 countsByYear W25589068372021 @default.
- W2558906837 crossrefType "journal-article" @default.
- W2558906837 hasAuthorship W2558906837A5010776860 @default.
- W2558906837 hasAuthorship W2558906837A5035560190 @default.
- W2558906837 hasAuthorship W2558906837A5047257648 @default.
- W2558906837 hasAuthorship W2558906837A5057916222 @default.
- W2558906837 hasAuthorship W2558906837A5060514022 @default.
- W2558906837 hasBestOaLocation W25589068371 @default.
- W2558906837 hasConcept C110875604 @default.
- W2558906837 hasConcept C120314980 @default.
- W2558906837 hasConcept C136764020 @default.
- W2558906837 hasConcept C154945302 @default.
- W2558906837 hasConcept C206345919 @default.
- W2558906837 hasConcept C2780873155 @default.
- W2558906837 hasConcept C29202148 @default.
- W2558906837 hasConcept C31258907 @default.
- W2558906837 hasConcept C38652104 @default.
- W2558906837 hasConcept C41008148 @default.
- W2558906837 hasConcept C81860439 @default.
- W2558906837 hasConcept C97541855 @default.
- W2558906837 hasConceptScore W2558906837C110875604 @default.
- W2558906837 hasConceptScore W2558906837C120314980 @default.
- W2558906837 hasConceptScore W2558906837C136764020 @default.
- W2558906837 hasConceptScore W2558906837C154945302 @default.
- W2558906837 hasConceptScore W2558906837C206345919 @default.
- W2558906837 hasConceptScore W2558906837C2780873155 @default.
- W2558906837 hasConceptScore W2558906837C29202148 @default.
- W2558906837 hasConceptScore W2558906837C31258907 @default.
- W2558906837 hasConceptScore W2558906837C38652104 @default.
- W2558906837 hasConceptScore W2558906837C41008148 @default.
- W2558906837 hasConceptScore W2558906837C81860439 @default.
- W2558906837 hasConceptScore W2558906837C97541855 @default.
- W2558906837 hasIssue "12" @default.
- W2558906837 hasLocation W25589068371 @default.
- W2558906837 hasLocation W25589068372 @default.
- W2558906837 hasLocation W25589068373 @default.
- W2558906837 hasLocation W25589068374 @default.
- W2558906837 hasLocation W25589068375 @default.
- W2558906837 hasLocation W25589068376 @default.
- W2558906837 hasOpenAccess W2558906837 @default.
- W2558906837 hasPrimaryLocation W25589068371 @default.
- W2558906837 hasRelatedWork W2020600041 @default.
- W2558906837 hasRelatedWork W260766989 @default.
- W2558906837 hasRelatedWork W2751166006 @default.
- W2558906837 hasRelatedWork W2959276766 @default.
- W2558906837 hasRelatedWork W3092645890 @default.
- W2558906837 hasRelatedWork W3139193008 @default.
- W2558906837 hasRelatedWork W4206669594 @default.
- W2558906837 hasRelatedWork W4283067488 @default.
- W2558906837 hasRelatedWork W4287643190 @default.
- W2558906837 hasRelatedWork W4295941380 @default.
- W2558906837 hasVolume "16" @default.
- W2558906837 isParatext "false" @default.
- W2558906837 isRetracted "false" @default.
- W2558906837 magId "2558906837" @default.
- W2558906837 workType "article" @default.