.png){kind=icon}
Return
P2-TaskMP: Privacy-Preserving Task Allocation Optimization Based on Mobility Prediction
.png){kind=icon}
PRE
AI
DOI：10.1016/j.future.2025.107720.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
The emergence of Mobile Crowd Sensing (MCS) has provided a new paradigm for data sensing. An effective task allocation can ensure the stability and efficiency of the system in MCS. In this paper, we propose a privacy-preserving multi-objective, multi-task allocation optimization scheme, P2-TaskMP (Privacy-Preserving Task Allocation Optimization based on Mobility Prediction), to solve the multi-objective optimization task assignment problem while preserving users' privacy. The scheme evaluates participants' task completion capabilities by introducing mobility prediction based on fuzzy logic, which then informs task pre-allocation to form the initial population, unlike traditional methods that initialize populations randomly. To address potential privacy leaks of participants' spatiotemporal information during mobility prediction, we employ differential privacy techniques to add Laplace noise to participants' historical trajectory records, achieving adequate privacy protection. P2-TaskMP achieves Pareto-optimal solutions using the NSGA-II-DE (Non- dominated Sorting Genetic Algorithm II with Differential Evolution) algorithm and realizes satisfactory results with fast solution speed for large-scale task allocation problems. Simulations conducted on two real-world datasets demonstrate that our proposed method achieves higher accuracy, and the task allocation algorithm performs better than the compared algorithms in maximizing task completion rate and minimizing cost.
Keywords:
Mobile Crowd Sensing
Task allocation
Mobility prediction
Swarm intelligence
Privacy preserving
Journal
F
IF:
6.1
Papers:
6.9K
Citations:
2.3W
Organization
View more organizations
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSaveShareSavePriTAEC: Privacy-Preserving Task Assignment Based on Oblivious Transfer and Edge Computing in VANET
PREAI
ShareSaveShareSaveShareSave View more