基于列表级排序的工业通信MCS系统性能优化  

Performance Optimization of Industrial Communication MCS System Based on List-Level Sorting

作　　者：詹雯 Zhan Wen(School of Computer Science,Xinxiang Vocational and Technical College,Xinxiang Henan 453000,China)

机构地区：[1]新乡职业技术学院计算机学院,河南新乡453000

出　　处：《现代工业经济和信息化》2024年第11期78-79,共2页Modern Industrial Economy and Informationization

摘　　要：为了进一步提高移动群智感知(Mobile Crowd Sensing,MCS)中数据质量,设计了一种基于列表级排序(List Wise Ranking,LWR)的工业通信MCS系统性能优化方法。通过博弈调节的方式来提高系统工作效率,提升了系统的总体处理性能,达到平台和用户之间共赢的目的。研究结果表明:随着用户数量的增长,MSC方法任务分配时间并没有显著变化。与GSM相比,LWR方法达到了更快生长速率以及更优处理性能。在任务分发阶段,LWR方法参与者表现出了最高积极度,参与比例达到了97%。该方法具有较好的综合处理性能,比GSM具备更优的数据处理能力。In order to further improve the data quality in Mobile Crowd Sensing(MCS),a performance optimization method for industrial communication MCS system based on List Wise Ranking(LWR)is designed.Through game regulation,the working efficiency of the system is improved,and the overall processing performance of the system is also improved,so as to achieve a win-win situation between the platform and users.The results show that with the increase of the number of users,the task assignment time of MSC method does not change significantly.Compared with GSM,LWR method achieves faster growth rate and better processing performance.In the task distribution phase,LWR participants showed the highest degree of active participation,reaching 97%.This method has better comprehensive processing performance and better data processing capability than GSM.

关 键 词：工业通信 移动群智感知 列表级排序 参与者意愿 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]