PACMAB is a perception-aware two-sided learning framework for multi-platform mobile crowdsensing that models the setting as a dynamic hypergame and achieves at least 41% more completed tasks than benchmarks in simulations without assuming complete information.
Online stable task assignment in opportunistic mobile crowdsensing with uncertain trajectories,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.NI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Dynamic Hypergame for Task Assignment in Multi-platform Mobile Crowdsensing Under Incomplete Information
PACMAB is a perception-aware two-sided learning framework for multi-platform mobile crowdsensing that models the setting as a dynamic hypergame and achieves at least 41% more completed tasks than benchmarks in simulations without assuming complete information.