Social-aware UAV-assisted Mobile Crowd Sensing in Stochastic and Dynamic Environments for Disaster Relief Networks

Bowen Wang, Dianxiong Liu, Hien M. Nguyen, Trung Q. Duong

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

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.
Original languageEnglish
Pages (from-to)1070-1074
Number of pages5
JournalIEEE Transactions on Vehicular Technology
Volume69
Issue number1
Early online date25 Oct 2019
DOIs
Publication statusPublished - Jan 2020

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