Crowdsourcing user information age management algorithm based on random game online learning

A user information and user technology, applied in the field of crowdsourcing and online learning, can solve the problems of wireless channel quality uncertainty, affecting user income, etc., and achieve the effect of improving expected income

Active Publication Date: 2020-04-17
WUHAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

To compound the problem, not all user-generated data is delivered to the platform smoothly due to the uncertainty of wireless channel quality
If the channel quality is poor, even if the user generates a large number of data packets, only a small proportion of the data packets can be successfully transmitted to the crowdsourcing platform. Considering the cost of generating data packets, the channel quality will also affect the user's revenue

Method used

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  • Crowdsourcing user information age management algorithm based on random game online learning
  • Crowdsourcing user information age management algorithm based on random game online learning
  • Crowdsourcing user information age management algorithm based on random game online learning

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Embodiment Construction

[0027] The present invention is mainly based on crowdsourcing user relationship stochastic game and online learning, and proposes a model system of crowdsourcing user relationship stochastic dynamic game and an approximate Nash equilibrium online learning algorithm. This method fully considers the information age of the user data packet, the interaction between the channel quality and the user's current and future long-term benefits, and obtains the optimal strategy through an adaptive iterative learning method. The strategy learned by the invention increases the user's expected revenue.

[0028] The method provided by the invention can use computer software technology to realize the process. see figure 1 , the embodiment takes 2 users as an example to carry out a specific elaboration on the flow process of the present invention, as follows:

[0029] Step 1, input the initial random exploration probability parameter θ 0 , discount coefficient γ, ∈-approximate parameter ∈ of...

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Abstract

The invention relates to a crowdsourcing user information age management algorithm based on random game online learning. A method of maximizing future expected revenue is adopted. Crowdsourcing usersare enabled to adaptively and dynamically adjust the data packet generation rate in the learning process, and optimal selection strategies in different states are acquired according to learning results, so that the long-term revenue of users using the strategies is enabled to be maximized. The problem that crowdsourcing users adaptively select an optimal selection strategy capable of maximizing long-term revenue in a dynamic environment is solved. Competition among the crowdsourcing users is described as a random game model, and an optimal data packet generation rate selection strategy is obtained by using an online learning algorithm.

Description

technical field [0001] The invention belongs to the field of crowdsourcing and online learning, in particular to a crowdsourcing user information age management algorithm based on random game online learning. Background technique [0002] With the rapid development of Internet of Things (IoT) technology and the wide spread of portable devices, there is an increasing need for real-time information updates, such as news, weather forecasts, and traffic conditions. In most cases, outdated information is of little use. In order to collect real-time traffic data, Google Maps invites user groups to submit real-time traffic information in their own locations, such as reporting whether there is a traffic jam or a traffic accident. to better plan your route. There is a growing practice of this crowdsourcing, which combines the collective efforts of groups to keep information up-to-date. [0003] Crowdsourcing gathers the power of groups to accomplish specific tasks. Crowdsourcing ...

Claims

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Application Information

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IPC IPC(8): H04B17/309H04B17/391G06N5/04G06N20/00
CPCG06N5/042G06N20/00H04B17/309H04B17/391
Inventor 陈艳姣朱笑天
Owner WUHAN UNIV
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