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Social-Aware UAV-Assisted Mobile Crowd Sensing in Stochastic and Dynamic Environments for Disaster Relief Networks
- Source :
- IEEE Transactions on Vehicular Technology. 69:1070-1074
- Publication Year :
- 2020
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2020.
-
Abstract
- In this paper, we consider a social-aware unmanned aerial vehicle (UAV) assisted mobile crowd sensing (MCS) system for disaster relief networks, and investigate how to recruit suitable UAVs to perform sensing tasks in stochastic and dynamic environments (both UAVs and tasks arrive stochastically). We formulate the task assignment problem into a dynamic matching problem, and propose a multiple-waitlist based task assignment (MWTA) algorithm to find the stable matching in time-varying environment. We prove that MWTA can achieve the dynamic stability containing the strategy-proofness, efficiency, and envy-freeness. Simulation results demonstrate the performance improvement of our proposed scheme compared with the traditional matching algorithm applied to deterministic matching model in stochastic setting.
- Subjects :
- Matching (statistics)
Computer Networks and Communications
Computer science
Stochastic process
Real-time computing
Stability (learning theory)
Aerospace Engineering
ComputerApplications_COMPUTERSINOTHERSYSTEMS
020302 automobile design & engineering
02 engineering and technology
Energy consumption
Task (project management)
Vehicle dynamics
0203 mechanical engineering
Automotive Engineering
Task analysis
Electrical and Electronic Engineering
Assignment problem
Blossom algorithm
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi...........1d78891b4d176f1aa1de2d135349ab91
- Full Text :
- https://doi.org/10.1109/tvt.2019.2949634