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Social-Aware UAV-Assisted Mobile Crowd Sensing in Stochastic and Dynamic Environments for Disaster Relief Networks

Authors :
Trung Q. Duong
Yanjing Sun
Dianxiong Liu
Bowen Wang
Hien Minh Nguyen
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.

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