群智感知下基于信任的工人选择策略研究  

A Trust Based Workers Selection Strategy Research for CrowdSensing

作　　者：鄢锦玲 陈木生 刘安丰[2] YAN Jinling;CHEN Musheng;LIU Anfeng(School of Software Engineering,Jiangxi University of Science and Technology,Nanchang 330013,China;School of Computing,Central South University,Changsha 410083,China)

机构地区：[1]江西理工大学软件工程学院,江西南昌330013 [2]中南大学计算机学院,湖南长沙410083

出　　处：《软件导刊》2025年第3期70-77,共8页Software Guide

基　　金：江西省教育厅科学研究项目(GJJ200839);江西理工大学博士启动基金项目(205200100402)。

摘　　要：群智感知环境下拥有智能设备的人群(工人)进行数据收集时,不可避免地存在一些恶意虚报或伪造数据(工人为了得到更多报酬),最终影响系统服务质量的情况。为此,提出一种基于信任的工人选择策略,采用积极的信任评估方法,将基于可信工人报告的数据作为样本数据与其他工人的信任度比较,对其信任度进行动态评价,由此排除恶意工人,选择可信工人执行任务,保障数据可信,提高应用服务质量。实验结果显示,所提策略相较于基于被动信任评估的成本最小化策略,信任差异提高1.9倍,优率(优秀工人的比例)提升9%,成本降低4.9%;相较于智能可信无人机辅助质量最大化策略在信任差异相当情况下,优率提升8.7%,成本降低63%。研究表明,所提策略能够在较低成本情况下保障数据可信,实现应用服务质量优化。In the CrowdSensing(CS)networks,the presence of malicious workers who engage in deceptive practices,such as false reporting or data fabrication,to gain additional rewards is an unavoidable concern,thereby affecting the service quality of the system.To address this issue,a Trust Based Workers Selection Scheme(BTWS)is proposed,which adopts a proactive trust evaluation approach.This scheme leverages trustworthy worker-reported data as reference samples for comparing the trustworthiness of other workers and dynamically evaluating their trust levels.The primary objective is to exclude malicious workers and selectively engage reliable workers for task execution to ensure data trustworthiness,consequently enhancing application service quality.Experimental results demonstrate that compared to the Cost Minimization Scheme Based on Passive Trust Evaluation(CMPT),the proposed scheme achieves a 1.9 times improvement in trust difference,accompanied by a 9%increase in the proportion of outstanding workers and a 63.8%cost reduction.Compared to the Quality Maximization scheme based on Trust UAV-Assisted(QMUT),the proposed scheme achieves an 8.7%increase in the ratio of outstanding workers and a 63%cost reduction with the same level of trust difference.In essence,the proposed scheme ensures data credibility and achieves application service quality optimization with low cost.

关 键 词：群智感知 工人选择 信任评估 

分 类 号：TP274.2[自动化与计算机技术—检测技术与自动化装置]