Research Article
Route-Oriented Participants Recruitment in Collaborative Crowdsensing
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@INPROCEEDINGS{10.1007/978-3-030-00916-8_16, author={Shu Yang and Jinglin Li and Quan Yuan and Zhihan Liu}, title={Route-Oriented Participants Recruitment in Collaborative Crowdsensing}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 13th International Conference, CollaborateCom 2017, Edinburgh, UK, December 11--13, 2017, Proceedings}, proceedings_a={COLLABORATECOM}, year={2018}, month={10}, keywords={Participants recruitment Collaborative crowdsensing Vehicle trajectory Approximate algorithm}, doi={10.1007/978-3-030-00916-8_16} }- Shu Yang
Jinglin Li
Quan Yuan
Zhihan Liu
Year: 2018
Route-Oriented Participants Recruitment in Collaborative Crowdsensing
COLLABORATECOM
Springer
DOI: 10.1007/978-3-030-00916-8_16
Abstract
Route-oriented participants recruitment is a critical problem in collaborative crowdsensing, where task publisher uses monetary reward to motivate private cars collecting data along their routes. For map producers, route-oriented crowdsensing scheme helps them achieve maximum roads coverage with a limited budget, by selecting appropriate participants from a group of candidates.
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