Performance Optimization of Industrial Communication MCS System Based on List-Level Sorting
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.
industrial communicationmobile group intelligence perceptionlist level sortingparticipant intention
NETL
NSTL
万方数据
