An Online Intelligent Task Pricing Mechanism Based on Reverse Auction in Mobile Crowdsensing Networks for the Internet of Things

The Mobile Crowdsensing Network is a new data acquisition method, which is devoted to provide universal service for the Internet of Things, and it is also an important application field of Computational Intelligence. A reasonable task pricing mechanism can not only motivate more users to participate in the sensing task but also help the sustainable development of the platform. In view of the widespread problem that the fine pricing of perceived tasks in online scenes is not considered, an online intelligent task pricing mechanism based on reverse auction is proposed in this paper, which is combined with Computational Intelligence to ensure that the task price is determined in real-time through subject interaction. Task participants submit quotation information to the platform to obtain eligibility to participate in the task. The platform selects the arriving task participants and determines their remuneration by Reverse Auction strategy. The results show that the mechanism can improve the income of task participants, and encourage them to actively participate in sensing tasks.