Resource-Aware Approaches for Truth Analysis in Crowdsourcing

Xiaomei Zhang, Yibo Wu, Guohong Cao

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

Abstract

Although crowdsourcing can provide a large amount of information through mobile devices and mobile users, the information provided by them may be inaccurate. Various truth analysis techniques have been proposed to identify truth from the noisy data either in a heuristic manner or using statistical models. However, if the available data are limited or have large conflicts, it is difficult to identify the truth or ensure the data credibility (quality). In this paper, we address this problem by utilizing the communication networks to adaptively collect data from mobile users, especially when the existing data are not enough to ensure data credibility. Considering the requirement on data credibility and the constraint of network resources, we quantify the tradeoff between the enhanced data credibility and the increased network overhead, and propose resource-aware approaches for truth analysis. Specifically, we formalize two problems in resource-constrained mobile opportunistic networks: max-credibility which aims to maximize data credibility with some network overhead, and min-overhead which aims to achieve a specified data credibility while minimizing the network overhead. Simulation and experimental results demonstrate the effectiveness of the proposed solutions in terms of data credibility and network overhead.

Original languageEnglish (US)
Title of host publicationProceedings - 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages19-27
Number of pages9
ISBN (Electronic)9781509028337
DOIs
StatePublished - Jan 11 2017
Event13th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2016 - Brasilia, Brazil
Duration: Oct 10 2016Oct 13 2016

Publication series

NameProceedings - 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2016

Other

Other13th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2016
CountryBrazil
CityBrasilia
Period10/10/1610/13/16

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Instrumentation

Fingerprint Dive into the research topics of 'Resource-Aware Approaches for Truth Analysis in Crowdsourcing'. Together they form a unique fingerprint.

  • Cite this

    Zhang, X., Wu, Y., & Cao, G. (2017). Resource-Aware Approaches for Truth Analysis in Crowdsourcing. In Proceedings - 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2016 (pp. 19-27). [7815008] (Proceedings - 2016 IEEE 13th International Conference on Mobile Ad Hoc and Sensor Systems, MASS 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MASS.2016.014