A Big Data Crowdsensing Motivation Method for Location-Adjustable Users

A technology of group intelligence and big data, which is applied in the intersection of the Internet and algorithmic game theory, can solve problems such as taking into account, no overlap of time and space tasks, etc.

Active Publication Date: 2021-07-27
维拓工业互联(浙江)有限公司
View PDF9 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Big Data Crowdsensing Motivation Method for Location-Adjustable Users
  • A Big Data Crowdsensing Motivation Method for Location-Adjustable Users
  • A Big Data Crowdsensing Motivation Method for Location-Adjustable Users

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0046] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0047] In the present invention, the crowd sensing platform selects winners and calculates the rewards of each winner according to the effective coverage cost of users.

[0048] Noun description:

[0049] Crowd intelligence sensing platform: a system that publishes tasks on the Internet and selects participants from the Internet to complete the tasks.

[0050] Winners: The users selected by the crowdsensing platform through the incentive method are the executors of the crowdsensing task.

[0051] Such as figure 1 , in the location-adjustable user-oriented big data crowd sensing incentive method of the present invention, a reverse auction process is embodied between the crowd sensing platform and the user, including the following steps:

[0052] Step 1. The crowd-sensing platform issues a task set Γ={τ to the user set U={1,2,...,n} 1 ,...,τ m};...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a large data group intelligence sensing incentive method for users whose positions can be adjusted. In this method, a reverse auction process is embodied between the crowd-sensing platform and users. The crowd-sensing platform first releases a set of tasks, each of which includes a minimum perception duration and an area of ​​interest. The user submits a bid to the crowdsensing platform that includes the user's maximum sensing duration, activity area and quotation. The crowd-sensing platform selects a group of winners from users based on the effective coverage cost of each user, and calculates the reward for each user. Make the selected winners able to complete all the tasks in the area of ​​interest required by the task, and the perception duration is not less than the minimum perception duration. The incentive method proposed in the present invention includes a winner selection algorithm, a duration distribution algorithm and a reward determination algorithm, and can be widely used in large-scale crowd sensing systems.

Description

technical field [0001] The present invention relates to the intersecting fields of the Internet and algorithmic game theory, in particular to a large data group intelligence sensing incentive method for users whose positions can be adjusted. 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 gr...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06Q10/06G06Q30/08
CPCG06Q10/06311G06Q30/08
Inventor 徐佳管程程吴永琪苏荣田薛刚靳勇徐力杰王磊
Owner 维拓工业互联(浙江)有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products