The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
A location-based incentive mechanism for participatory sensing systems with budget constraints
Open accessAbstract
Participatory sensing (PS) systems rely on the willingness of mobile users to participate in the collection and reporting of data using a variety of sensors either embedded or integrated in their cellular phones. However, this new data collection paradigm has not been very successful yet mainly because of the lack of incentives for participation. Although several incentive schemes have been proposed to encourage user participation, none has used location information and imposed budget and coverage constraints, which will make the scheme more realistic and efficient. We propose a recurrent reverse auction incentive mechanism with a greedy algorithm that selects a representative subset of the users according to their location given a fixed budget. Compared to existing mechanisms, our incentive scheme improves the area covered by more than 60 percent acquiring a more representative set of samples after every round while maintaining the same number of active users in the system and spending the same budget.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Labeling images with a computer game
von Ahn, L., & Dabbish, L. (2004) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/985692.985733 · Cited by 2,204
Crowdsourcing systems on the World-Wide Web
Doan, A., Ramakrishnan, R., & Halevy, A. Y. (2011) · Communications of the ACM · doi:10.1145/1924421.1924442 · Cited by 1,338
Designing games with a purpose
von Ahn, L., & Dabbish, L. (2008) · Communications of the ACM · doi:10.1145/1378704.1378719 · Cited by 1,155
Kleinberg, J. M., & Tardos, É. (2005) · Cited by 1,022
A Social Psychology of Protest: Individuals in Action
van Stekelenburg, J., & Klandermans, B. (2023) · Cambridge University Press eBooks · doi:10.1017/9781316823354 · Cited by 1,016
Social translucence: an approach to designing systems that support social processes
Erickson, T., & Kellogg, W. A. (2000) · ACM Transactions on Computer-Human Interaction · doi:10.1145/344949.345004 · Cited by 998
The budgeted maximum coverage problem
Khuller, S., Moss, A., & Naor, J. (. (1999) · Information Processing Letters · doi:10.1016/s0020-0190(99)00031-9 · Cited by 982
von Ahn, L. (2006) · Computer · doi:10.1109/mc.2006.196 · Cited by 955
Falaki, H., Mahajan, R., Kandula, S., Lymberopoulos, D., Govindan, R., & Estrin, D. (2010) · Proceedings of the 8th international conference on Mobile systems, applications, and services · doi:10.1145/1814433.1814453 · Cited by 838
Human computation: a survey and taxonomy of a growing field
Quinn, A. J., & Bederson, B. B. (2011) · Proceedings of the SIGCHI Conference on Human Factors in Computing Systems · doi:10.1145/1978942.1979148 · Cited by 801
Metadata
- Authors
- Jaimes, L. G., Vergara-Laurens, I., & Labrador, M. A.
- Venue
- 2012 IEEE International Conference on Pervasive Computing and Communications
- Publisher
- IEEE
- Published
- 2012-03
- Pages
- 103-108
- ISSN
- 2474-249X (ISSN-L)
- OpenAlex
- W2105385568
- Cited by
- 256
- References
- 48
- FWCI
- 20.13
- Type
- conference paper
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: A location-based incentive mechanism for participatory sensing systems with budget constraints. https://app.cochat.ai/papers/10.1109/percom.2012.6199855
- The paper
- Jaimes, L. G., Vergara-Laurens, I., & Labrador, M. A. (2012). A location-based incentive mechanism for participatory sensing systems with budget constraints. 2012 IEEE International Conference on Pervasive Computing and Communications. https://doi.org/10.1109/percom.2012.6199855
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
