Reputation updating mobile crowd sensing excitation method based on fuzzy control

Abstract

The invention discloses a reputation updating mobile crowd sensing excitation method based on fuzzy control, and the method comprises the steps of winner selection: synthesizing the reputation of a user and a quotation to obtain a comprehensive quotation, and employing a reverse auction algorithm to select a winner to execute a sensing task; data quality evaluation: carrying out quality evaluation on data acquired when the winner executes the task through a fuzzy logic control system; reputation updating: dynamically updating the reputation of the user according to whether the data quality reaches the standard or not, and not updating the reputation by a task loser; reward payment: determining the quantity of quoted prices given to winner in advance according to whether the data quality reaches the standard or not, and in order to avoid user loss in the system, the loser can obtain little compensation. The auction is ended until all the tasks are covered. According to the method, the user reputation, the acquired data quality and the final reward of the user are combined, a good motivation target can be achieved, the participation enthusiasm of the user is improved, and long-term motivation is realized; the data acquisition quality is improved, and the system benefit is maximized.

Description

technical field [0001] The invention relates to the technical field of mobile crowd sensing, in particular to a mobile crowd sensing incentive method combined with information updating. Background technique [0002] Mobile crowd sensing is the conscious or unconscious data collection by participants with mobile smart terminal devices (mobile phones, computers, smart wearable devices, etc.). In order to improve the quality of perception data, the traditional method deploys a large number of sensors to achieve full coverage of the sampling area, but this method will lead to high acquisition costs. With many advantages such as structure, wide and uniform coverage, and high expansion and multi-function, the crowd sensing system is widely used in various fields such as intelligent transportation, environmental monitoring, noise detection, mobile social networking, public services, and intelligent medical care. In recent years, the establishment of some mobile crowd sensing platf...

AI Technical Summary

Problems solved by technology

First of all, there is no diversity in evaluating data quality, and the consideration of factors is single, and the quality of the obtained data is not accurate enough

Secondly, the reverse auction is used to select the winner and only the lowest price is considered, and the lowest price is used as the only condition for selecting the winner, which may cause malicious low-price bidding. In view of the above problems, the present invention makes the following improvements

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