UAV-supported intelligent truth discovery to achieve low-cost communications in mobile crowd sensing

作     者：Jing Bai Jinsong Gui Guosheng Huang Shaobo Zhang Anfeng Liu Jing Bai;Jinsong Gui;Guosheng Huang;Shaobo Zhang;Anfeng Liu

作者机构：School of Computer Science and EngineeringCentral South UniversityChangSha410083China School of Information Science and EngineeringHunan First Normal UniversityChangsha410205China School of Computer Science and EngineeringHunan University of Science and TechnologyXiangTan411100China 

出 版 物：《Digital Communications and Networks》 (数字通信与网络（英文版）)

年 卷 期：2024年第10卷第4期

页      面：837-852页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 082503[工学-航空宇航制造工程] 081001[工学-通信与信息系统] 0825[工学-航空宇航科学与技术] 

基　　金：supported by the National Natural Science Foundation of China under Grant No.62072475 

主　　题：Unmanned aerial systems Trust computing Truth discovery Deep matrix factorization Low-cost communications 

摘      要：Unmanned and aerial systems as interactors among different system components for communications,have opened up great opportunities for truth data discovery in Mobile Crowd Sensing(MCS)which has not been properly solved in the *** this paper,an Unmanned Aerial Vehicles-supported Intelligent Truth Discovery(UAV-ITD)scheme is proposed to obtain truth data at low-cost communications for *** main innovations of the UAV-ITD scheme are as follows:(1)UAV-ITD scheme takes the first step in employing UAV joint Deep Matrix Factorization(DMF)to discover truth data based on the trust mechanism for an Information Elicitation Without Verification(IEWV)problem in MCS.(2)This paper introduces a truth data discovery scheme for the first time that only needs to collect a part of n data samples to infer the data of the entire network with high accuracy,which saves more communication costs than most previous data collection schemes,where they collect n or kn data ***,we conducted extensive experiments to evaluate the UAV-ITD *** results show that compared with previous schemes,our scheme can reduce estimated truth error by 52.25%–96.09%,increase the accuracy of workers’trust evaluation by 0.68–61.82 times,and save recruitment costs by 24.08%–54.15%in truth data discovery.