Excitation method for space-time big data crowd sensing task

Abstract

The invention discloses an excitation method for space-time big data crowd sensing tasks. In the method, a reverse auction process is embodied between the crowd sensing platform and the user. The crowd sensing platform firstly publishes a task set, wherein each task comprises a minimum sensing duration and an interest area. And the user submits a bidding document containing the maximum perceptionduration, the position and the quotation of the user to the crowd sensing platform. And the crowd sensing platform selects a batch of winner from the users according to the effective coverage cost ofeach user, and calculates the reward of each user. Therefore, the selected winner can complete all tasks in the interest area required by the task, and the perception time is not less than the minimumperception time. The incentive method provided by the invention has reward incentive to a winner, so that users are stimulated to participate in crowd sensing, calculation effectiveness, personal rationality and authenticity are met, and the incentive method has an approximate ratio and can be widely applied to a large-scale crowd sensing system.

Description

technical field [0001] The invention relates to the intersecting fields of big data, the Internet of Things and game theory, and in particular to an incentive method for group intelligence sensing tasks oriented to spatiotemporal big data. Background technique [0002] In recent years, the smartphone market has exploded and continues to expand. According to research information from the global market intelligence organization (IDC), global smartphone shipments are expected to reach 1.42 billion units in 2018, and in the long run, smartphone shipments are expected to reach 1.57 billion units in 2022. With the advent of 4G / 5G networks and embedded sensors such as accelerometers, digital compasses, gyroscopes, GPS and cameras, smartphones are gradually becoming powerful programmable mobile data interfaces. These sensors can synergistically sense various human activities and the surrounding environment. Mobile crowd sensing outsources the data that needs to be sensed to a grou...

AI Technical Summary

Problems solved by technology

[0006] However, most of the existing studies did not take into account that the regions of interest of the spatio-temporal tasks in the crowd sensing system can overlap with each other, nor did they take into account that the perception duration of each perception task needs to meet the specific perception duration requirements.

Images