Matches in SemOpenAlex for { <https://semopenalex.org/work/W1997758418> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W1997758418 abstract "Wireless user-mobility prediction has been investigated from various angles to improve network performance. Student populations in campuses, pedestrian and vehicular movement in urban areas, etc have been studied by cell phone and mobility management researchers to address issues in Quality of Service (QoS), seamless session handoffs, etc. Access to information such as user movement times, direction, speed, etc provides an opportunity for networks to efficiently manage resources to satisfy user needs.Towards this goal, we propose a generic framework to approach the problem of mobility prediction using Hidden Markov Models (HMM). This method can be used to modd hidden parameters in the models. We propose a way to extract user movement information from a real dataset, train a HMM using this data and make predictions using the HMM. This model can successfully predict long sequences of a mobile user's path from observed sequences and also uses successive sequences of observed data to train its learning parameters to enhance prediction accuracy. Furthermore, we show that this model is very generic and can be suited to make predictions using the same information from the perspective of the access point or the mobile node." @default.
- W1997758418 created "2016-06-24" @default.
- W1997758418 creator A5031282264 @default.
- W1997758418 creator A5048502547 @default.
- W1997758418 date "2010-01-01" @default.
- W1997758418 modified "2023-09-25" @default.
- W1997758418 title "Movement Prediction in Wireless Networks Using Mobility Traces" @default.
- W1997758418 cites W1972923980 @default.
- W1997758418 cites W1982300822 @default.
- W1997758418 cites W2030092526 @default.
- W1997758418 cites W2053008757 @default.
- W1997758418 cites W2097452622 @default.
- W1997758418 cites W2103481940 @default.
- W1997758418 cites W2105594594 @default.
- W1997758418 cites W2113648666 @default.
- W1997758418 cites W2122250635 @default.
- W1997758418 cites W2123154108 @default.
- W1997758418 cites W2125838338 @default.
- W1997758418 cites W2147746912 @default.
- W1997758418 cites W2148135143 @default.
- W1997758418 cites W2149891651 @default.
- W1997758418 cites W2154818210 @default.
- W1997758418 cites W2157457404 @default.
- W1997758418 cites W2165959773 @default.
- W1997758418 doi "https://doi.org/10.1109/ccnc.2010.5421613" @default.
- W1997758418 hasPublicationYear "2010" @default.
- W1997758418 type Work @default.
- W1997758418 sameAs 1997758418 @default.
- W1997758418 citedByCount "41" @default.
- W1997758418 countsByYear W19977584182012 @default.
- W1997758418 countsByYear W19977584182013 @default.
- W1997758418 countsByYear W19977584182014 @default.
- W1997758418 countsByYear W19977584182015 @default.
- W1997758418 countsByYear W19977584182016 @default.
- W1997758418 countsByYear W19977584182017 @default.
- W1997758418 countsByYear W19977584182018 @default.
- W1997758418 countsByYear W19977584182019 @default.
- W1997758418 countsByYear W19977584182020 @default.
- W1997758418 countsByYear W19977584182021 @default.
- W1997758418 countsByYear W19977584182022 @default.
- W1997758418 crossrefType "proceedings-article" @default.
- W1997758418 hasAuthorship W1997758418A5031282264 @default.
- W1997758418 hasAuthorship W1997758418A5048502547 @default.
- W1997758418 hasConcept C107038049 @default.
- W1997758418 hasConcept C108037233 @default.
- W1997758418 hasConcept C138885662 @default.
- W1997758418 hasConcept C191485582 @default.
- W1997758418 hasConcept C2780226923 @default.
- W1997758418 hasConcept C31258907 @default.
- W1997758418 hasConcept C41008148 @default.
- W1997758418 hasConcept C555944384 @default.
- W1997758418 hasConcept C76155785 @default.
- W1997758418 hasConceptScore W1997758418C107038049 @default.
- W1997758418 hasConceptScore W1997758418C108037233 @default.
- W1997758418 hasConceptScore W1997758418C138885662 @default.
- W1997758418 hasConceptScore W1997758418C191485582 @default.
- W1997758418 hasConceptScore W1997758418C2780226923 @default.
- W1997758418 hasConceptScore W1997758418C31258907 @default.
- W1997758418 hasConceptScore W1997758418C41008148 @default.
- W1997758418 hasConceptScore W1997758418C555944384 @default.
- W1997758418 hasConceptScore W1997758418C76155785 @default.
- W1997758418 hasLocation W19977584181 @default.
- W1997758418 hasOpenAccess W1997758418 @default.
- W1997758418 hasPrimaryLocation W19977584181 @default.
- W1997758418 hasRelatedWork W1938339660 @default.
- W1997758418 hasRelatedWork W1969993354 @default.
- W1997758418 hasRelatedWork W2084123652 @default.
- W1997758418 hasRelatedWork W2111612776 @default.
- W1997758418 hasRelatedWork W2161581405 @default.
- W1997758418 hasRelatedWork W2273700750 @default.
- W1997758418 hasRelatedWork W2320225973 @default.
- W1997758418 hasRelatedWork W2512844215 @default.
- W1997758418 hasRelatedWork W2537178846 @default.
- W1997758418 hasRelatedWork W2607247987 @default.
- W1997758418 isParatext "false" @default.
- W1997758418 isRetracted "false" @default.
- W1997758418 magId "1997758418" @default.
- W1997758418 workType "article" @default.