Using reputation management in participatory sensing for data classification
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Description
Participatory sensing enables collection, processing, dissemination and analysis of environmental sensory data by ordinary citizens, through mobile devices. Researchers have recognized the potential of participatory sensing and attempted applying it to many areas. However, participants may submit low quality, misleading, inaccurate, or even malicious data. Therefore, finding a way to improve the data quality has become a significant issue. This study proposes using reputation management to classify the gathered data and provide useful information for campaign organizers and data analysts to facilitate their decisions.
Impact and interest:
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| ID Code: | 42443 | ||||
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| Item Type: | Contribution to Journal (Journal Article) | ||||
| Refereed: | Yes | ||||
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| Measurements or Duration: | 8 pages | ||||
| DOI: | 10.1016/j.procs.2011.07.026 | ||||
| ISSN: | 1877-0509 | ||||
| Pure ID: | 32098303 | ||||
| Divisions: | Past > QUT Faculties & Divisions > Faculty of Science and Technology Past > QUT Faculties & Divisions > Science & Engineering Faculty |
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| Copyright Owner: | Copyright 2011 please consult the authors | ||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
| Deposited On: | 06 Jul 2011 00:53 | ||||
| Last Modified: | 11 May 2024 17:08 |
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