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Adaptive assignment for quality-aware mobile sensing network with strategic users

  • Beihang University
  • Science and Technology on Special System Simulation Laboratory

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Mobile crowdsourcing with smartphones is a novel paradigm that collects distributed data efficiently. Millions ofcrowdsourcing tasks should be assigned and performed every day. In order to give good service quality for mobile sensing applications, a practical assignment approach is indispensable for a task platform to select appropriate users. This paper considers heterogeneous task assignment problem in the mobile sensing network that cannot label users. We consider the following scenario: a requester posts a set of tasks onto the platform, the platform selects a subset of proper smartphones to complete the different kinds of tasks under a budget constraint, all users inthese transactions are strategic for maximizing their individual utility. The assignment approach should be designed to fight against strategic behaviors of smartphone users. We address this problem by introducing a novel mechanism for mobile sensing assignment based on the multi-armed bandit problem. Moreover, we present an adaptive algorithm to assign users according to the properties of task and which task they are good at. Finally, we evaluate the performance of our mechanism based on a real dataset, and the results demonstrate that proposed algorithm achieves better in high-quality assignment.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages541-546
Number of pages6
ISBN (Electronic)9781479989362
DOIs
StatePublished - 23 Nov 2015
Event17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015 - New York, United States
Duration: 24 Aug 201526 Aug 2015

Publication series

NameProceedings - 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security and 2015 IEEE 12th International Conference on Embedded Software and Systems, HPCC-CSS-ICESS 2015

Conference

Conference17th IEEE International Conference on High Performance Computing and Communications, IEEE 7th International Symposium on Cyberspace Safety and Security and IEEE 12th International Conference on Embedded Software and Systems, HPCC-ICESS-CSS 2015
Country/TerritoryUnited States
CityNew York
Period24/08/1526/08/15

Keywords

  • Crowdsourcing
  • Mobile sensing
  • Multi-armed bandit
  • Task assignment

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