Crowd sensing distribution system and task distribution method thereof

Abstract

The invention discloses a crowd sensing distribution system and a task distribution method thereof. The crowd sensing distribution system comprises a data consumer, a platform and a user, wherein a task publishing module, a task collecting module, a task distribution module, a data submission module and a payment module are respectively arranged in the platform; the task publishing module is connected with the data consumer; the task collecting module is connected with the user; both the task collecting module and the task collecting module are connected with the distribution module; and the task publishing module is connected with the task collecting module through the data submission module and the payment module. According to the crowd sensing distribution system and the task distribution method thereof disclosed by the invention, an approximate optimal task distribution technology is provided by satisfying max-min fairness as a distribution rule; compared with the original crowd sensing task distribution, the designed method more accords with characteristics of a practical crowd sensing system; and thus, the comprehensive performance of a crowd sensing distribution mechanism can be effectively improved.

Description

technical field [0001] The invention relates to a group intelligence sensing system, in particular to a group intelligence sensing distribution system and a task distribution method thereof. Background technique [0002] In recent years, research on optimal task allocation in crowd sensing has made some progress, but there are still many problems. For example, in the actual crowd sensing system, different tasks may have different requirements for users, while The quality of tasks completed by each user is also different, and there are problems of task heterogeneity and user reliability. At the same time, the reliability of the same user completing different types of tasks may also be different, that is to say, the reliability of users is actually is a kind of classification reliability, however, existing research has not fully considered these issues to design an efficient crowd sensing task assignment system. Contents of the invention [0003] The technical task of the p...

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Problems solved by technology

[0002] In recent years, research on optimal task allocation in crowd sensing has made some progress, but there are still many problems. For example, in the actual crowd sensing system, different tasks may have different requirements for users, while The quality of tasks completed by each user is also different, and there are problems of task heterogeneity and user reliability. At the same time, the reliability of the same user completing different types of tasks may also be different, that is to say, the reliability of users is actually is a kind of classification reliability, however, the existing research has not fully considered these issues, and designed an efficient crowd sensing task assignment system

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