Matches in SemOpenAlex for { <https://semopenalex.org/work/W4312563972> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W4312563972 endingPage "9514" @default.
- W4312563972 startingPage "9503" @default.
- W4312563972 abstract "With the rapid development of smart cities, vehicles equipped with various sensors can effectively sense traffic, thus forming a crowdsensing paradigm for the Intelligent Transportation System (ITS). Although mobile crowdsensing in ITS has broad application advantages, it still faces many challenges, such as single point of failure, inefficient independent task allocation, and the inability to deal with safety emergency tasks in time. To handle the above issues, we establish a decentralized ITS architecture based on blockchain and propose the concurrent tasks assignment problem proved to be NP-hard and safety emergency tasks assignment problem. Then we propose Reinforcement Learning (RL) based concurrent tasks and the safety emergency tasks assignment method, which can maximize the utility of concurrent tasks based on satisfying the requirements of safety emergency tasks. Simulation results demonstrate the effectiveness of the proposed methods." @default.
- W4312563972 created "2023-01-05" @default.
- W4312563972 creator A5000988425 @default.
- W4312563972 creator A5020606089 @default.
- W4312563972 creator A5039583622 @default.
- W4312563972 creator A5050966388 @default.
- W4312563972 creator A5087422594 @default.
- W4312563972 creator A5087695610 @default.
- W4312563972 date "2023-09-01" @default.
- W4312563972 modified "2023-10-17" @default.
- W4312563972 title "Multi-Task-Oriented Collaborative Crowdsensing Based on Reinforcement Learning and Blockchain for Intelligent Transportation System" @default.
- W4312563972 cites W2517236807 @default.
- W4312563972 cites W2776370812 @default.
- W4312563972 cites W2802962942 @default.
- W4312563972 cites W2888319397 @default.
- W4312563972 cites W2909316670 @default.
- W4312563972 cites W2918142253 @default.
- W4312563972 cites W2979897999 @default.
- W4312563972 cites W2981092169 @default.
- W4312563972 cites W2982162079 @default.
- W4312563972 cites W2998657362 @default.
- W4312563972 cites W3001771199 @default.
- W4312563972 cites W3021073438 @default.
- W4312563972 cites W3033233091 @default.
- W4312563972 cites W3047382256 @default.
- W4312563972 cites W3080592791 @default.
- W4312563972 cites W3088286182 @default.
- W4312563972 cites W3088335723 @default.
- W4312563972 cites W3114547504 @default.
- W4312563972 cites W3132538423 @default.
- W4312563972 cites W3162980503 @default.
- W4312563972 cites W3168063067 @default.
- W4312563972 cites W3181932504 @default.
- W4312563972 cites W3195548207 @default.
- W4312563972 cites W3209223397 @default.
- W4312563972 cites W3214683671 @default.
- W4312563972 cites W4200567526 @default.
- W4312563972 cites W4212937105 @default.
- W4312563972 cites W4213432242 @default.
- W4312563972 cites W4226408066 @default.
- W4312563972 doi "https://doi.org/10.1109/tii.2022.3228935" @default.
- W4312563972 hasPublicationYear "2023" @default.
- W4312563972 type Work @default.
- W4312563972 citedByCount "0" @default.
- W4312563972 crossrefType "journal-article" @default.
- W4312563972 hasAuthorship W4312563972A5000988425 @default.
- W4312563972 hasAuthorship W4312563972A5020606089 @default.
- W4312563972 hasAuthorship W4312563972A5039583622 @default.
- W4312563972 hasAuthorship W4312563972A5050966388 @default.
- W4312563972 hasAuthorship W4312563972A5087422594 @default.
- W4312563972 hasAuthorship W4312563972A5087695610 @default.
- W4312563972 hasConcept C120314980 @default.
- W4312563972 hasConcept C127413603 @default.
- W4312563972 hasConcept C154945302 @default.
- W4312563972 hasConcept C165136773 @default.
- W4312563972 hasConcept C175154964 @default.
- W4312563972 hasConcept C201995342 @default.
- W4312563972 hasConcept C22212356 @default.
- W4312563972 hasConcept C2780451532 @default.
- W4312563972 hasConcept C2780821482 @default.
- W4312563972 hasConcept C38652104 @default.
- W4312563972 hasConcept C41008148 @default.
- W4312563972 hasConcept C47796450 @default.
- W4312563972 hasConcept C97541855 @default.
- W4312563972 hasConceptScore W4312563972C120314980 @default.
- W4312563972 hasConceptScore W4312563972C127413603 @default.
- W4312563972 hasConceptScore W4312563972C154945302 @default.
- W4312563972 hasConceptScore W4312563972C165136773 @default.
- W4312563972 hasConceptScore W4312563972C175154964 @default.
- W4312563972 hasConceptScore W4312563972C201995342 @default.
- W4312563972 hasConceptScore W4312563972C22212356 @default.
- W4312563972 hasConceptScore W4312563972C2780451532 @default.
- W4312563972 hasConceptScore W4312563972C2780821482 @default.
- W4312563972 hasConceptScore W4312563972C38652104 @default.
- W4312563972 hasConceptScore W4312563972C41008148 @default.
- W4312563972 hasConceptScore W4312563972C47796450 @default.
- W4312563972 hasConceptScore W4312563972C97541855 @default.
- W4312563972 hasFunder F4320321001 @default.
- W4312563972 hasIssue "9" @default.
- W4312563972 hasLocation W43125639721 @default.
- W4312563972 hasOpenAccess W4312563972 @default.
- W4312563972 hasPrimaryLocation W43125639721 @default.
- W4312563972 hasRelatedWork W2739678353 @default.
- W4312563972 hasRelatedWork W2786916331 @default.
- W4312563972 hasRelatedWork W2996320348 @default.
- W4312563972 hasRelatedWork W3010072053 @default.
- W4312563972 hasRelatedWork W3014064543 @default.
- W4312563972 hasRelatedWork W3034278799 @default.
- W4312563972 hasRelatedWork W3121448661 @default.
- W4312563972 hasRelatedWork W4200580761 @default.
- W4312563972 hasRelatedWork W4285814574 @default.
- W4312563972 hasRelatedWork W4383109296 @default.
- W4312563972 hasVolume "19" @default.
- W4312563972 isParatext "false" @default.
- W4312563972 isRetracted "false" @default.
- W4312563972 workType "article" @default.