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Staged Incentive and Punishment Mechanism for Mobile Crowd Sensing

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/11599463_70openalex-snapshot
On Coverage Problems of Directional Sensor Networks
inferredcites →https://doi.org/10.1007/s11277-017-4891-yopenalex-snapshot
Participant Density-Independent Location Privacy Protection for Data Aggregation in Mobile Crowd-Sensing
inferredcites →https://doi.org/10.1016/j.comcom.2018.01.012openalex-snapshot
A stability-based group recruitment system for continuous mobile crowd sensing
inferredcites →https://doi.org/10.1109/comst.2015.2415528openalex-snapshot
Incentives for Mobile Crowd Sensing: A Survey
inferredcites →https://doi.org/10.1109/iadcc.2014.6779311openalex-snapshot
Free-rider detection and punishment in BitTorrent based P2P networks
inferredcites →https://doi.org/10.1109/icc.2015.7248819openalex-snapshot
Profit maximization in mobile crowdsourcing: A truthful auction mechanism
inferredcites →https://doi.org/10.1109/icc.2017.7996575openalex-snapshot
An iterative incentive mechanism design for crowd sensing using best response dynamics
inferredcites →https://doi.org/10.1109/icdcs.2016.30openalex-snapshot
Quality-Aware and Fine-Grained Incentive Mechanisms for Mobile Crowdsensing
inferredcites →https://doi.org/10.1109/infcom.2009.5062233openalex-snapshot
A Coverage-Enhancing Method for 3D Directional Sensor Networks
inferredcites →https://doi.org/10.1109/infocom.2014.6848053openalex-snapshot
How to crowdsource tasks truthfully without sacrificing utility: Online incentive mechanisms with budget constraint
inferredcites →https://doi.org/10.1109/jiot.2016.2600634openalex-snapshot
A Fair Incentive Mechanism for Crowdsourcing in Crowd Sensing
inferredcites →https://doi.org/10.1109/jiot.2017.2706946openalex-snapshot
An Incentive Mechanism for Crowdsensing Markets With Multiple Crowdsourcers
inferredcites →https://doi.org/10.1109/percom.2010.5466993openalex-snapshot
Sell your experiences: a market mechanism based incentive for participatory sensing
inferredcites →https://doi.org/10.1109/tnet.2014.2379281openalex-snapshot
Budget-Feasible Online Incentive Mechanisms for Crowdsourcing Tasks Truthfully
inferredcites →https://doi.org/10.1109/tnet.2015.2421897openalex-snapshot
Incentive Mechanisms for Crowdsensing: Crowdsourcing With Smartphones
inferredcites →https://doi.org/10.1109/tnet.2018.2852754openalex-snapshot
Noise Tolerant Localization for Sensor Networks
inferredcites →https://doi.org/10.1109/tpds.2011.69openalex-snapshot
On Coverage of Wireless Sensor Networks for Rolling Terrains
inferredcites →https://doi.org/10.1109/tpds.2013.2297112openalex-snapshot
Free Market of Crowdsourcing: Incentive Mechanism Design for Mobile Sensing
inferredcites →https://doi.org/10.1109/tvt.2016.2587722openalex-snapshot
Frugal Online Incentive Mechanisms for Mobile Crowd Sensing
inferredcites →https://doi.org/10.1109/tvt.2017.2771805openalex-snapshot
Noise-Tolerant Wireless Sensor Networks Localization via Multinorms Regularized Matrix Completion
inferredcites →https://doi.org/10.1109/uic-atc-scalcom.2014.105openalex-snapshot
A Cross-Space, Multi-interaction-Based Dynamic Incentive Mechanism for Mobile Crowd Sensing
inferredcites →https://doi.org/10.1145/2348543.2348567openalex-snapshot
Crowdsourcing to smartphones
inferredcites →https://doi.org/10.1145/2348543.2348578openalex-snapshot
Locating in fingerprint space
inferredcites →https://doi.org/10.5555/2772879.2773387openalex-snapshot
Quality and Budget Aware Task Allocation for Spatial Crowdsourcing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4678010openalex-extracted
inferred← citeshttps://doi.org/10.1007/978-3-030-38961-1_11openalex-snapshot
Utility-Based Location Distribution Reverse Auction Incentive Mechanism for Mobile Crowd Sensing Network
inferred← citeshttps://doi.org/10.1007/978-981-13-8461-5_24openalex-snapshot
Compressed Air Demand Forecasting in Manufacturing Plants Using Deep Learning and Variational Mode Decomposition
inferred← citeshttps://doi.org/10.1007/978-981-15-1785-3_26openalex-snapshot
Data-Quality-Aware Participant Selection Mechanism for Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2024.109456openalex-snapshot
A cooperative detection scheme for malicious nodes based on D-S trust evidence reasoning in mobile crowdsensing networks
inferred← citeshttps://doi.org/10.1088/1742-6596/1288/1/012008openalex-snapshot
Learning-based Incentive Mechanism Design for Crowd Sensing
inferred← citeshttps://doi.org/10.1109/access.2019.2929774openalex-snapshot
Stackelberg Game Based Dynamic Admission and Scheduling in Mobile Crowdsensing
inferred← citeshttps://doi.org/10.1109/jiot.2020.2976778openalex-snapshot
A Learning-Based Credible Participant Recruitment Strategy for Mobile Crowd Sensing
inferred← citeshttps://doi.org/10.3390/electronics14163233openalex-snapshot
CIM-LP: A Credibility-Aware Incentive Mechanism Based on Long Short-Term Memory and Proximal Policy Optimization for Mobile Crowdsensing
inferred← citeshttps://doi.org/10.3390/s20216230openalex-snapshot
Federated Learning in Smart City Sensing: Challenges and Opportunities
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