WSelector: A multi-scenario and multi-view worker selection framework for crowd-sensing

Jiangtao Wang, Sumi Helal, Yasha Wang, Daqing Zhang

Research output: Chapter in Book/Report/Conference proceedingConference proceeding

1 Citation (Scopus)

Abstract

Worker selection is very crucial for crowd-sensing to ensure high data quality. Existing approaches have two limitations. First, they only take specific factors into account for their motivating application scenarios, but do not provide general models in support of crowd-sensing at large. Second, they select workers only in terms of the requirements defined by the task creator without considering other worker-required factors. To overcome abovementioned limitations, this paper proposes a novel worker selection framework for crowd sensing. Compared to existing work, it mainly has following two characteristics. (1) Multi-scenario. Instead of defining specific factors, we propose a core ontology model to semantically express general factors, based on which task creators can build their own task-specific models efficiently. (2) Multi-view. We propose a two-phase process to select workers by considering factors both from the task creator and worker. We evaluate the effectiveness of the worker selection process by using a questionnaire-generated dataset. Results show that our approach outperforms the baseline method.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
EditorsJianhua Ma, Ali Li, Huansheng Ning, Laurence T. Yang
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages54-61
Number of pages8
ISBN (Electronic)9781467372114
DOIs
Publication statusPublished - 21 Jul 2016
Externally publishedYes
EventProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015 - Beijing, China
Duration: 10 Aug 201514 Aug 2015

Conference

ConferenceProceedings - 2015 IEEE 12th International Conference on Ubiquitous Intelligence and Computing, 2015 IEEE 12th International Conference on Advanced and Trusted Computing, 2015 IEEE 15th International Conference on Scalable Computing and Communications, 2015 IEEE International Conference on Cloud and Big Data Computing, 2015 IEEE International Conference on Internet of People and Associated Symposia/Workshops, UIC-ATC-ScalCom-CBDCom-IoP 2015
CountryChina
CityBeijing
Period10/08/1514/08/15

Keywords

  • Crowd-Sensing
  • Framework
  • Worker Selection

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Health Informatics

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