Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Crowd-sourcing calculation online task allocation method based on mobile social network

A technology of mobile social network and task assignment, which is applied in the field of online task assignment of group intelligence computing based on mobile social network, to achieve the effect of strong practical value, cost saving, and broad market prospect

Active Publication Date: 2015-12-23
SUZHOU INST FOR ADVANCED STUDY USTC
View PDF3 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The technical problem mainly solved by the present invention is to provide a mobile social network-based swarm intelligence computing online task assignment method, by carrying the swarm intelligence computing system on the mobile network, using the mobile network to perform task assignment, task processing and result recovery The system, in addition to giving play to the characteristics of user mobility in the mobile network, also utilizes the characteristics of mobile users to complete some manual tasks that are difficult for traditional equipment. The task allocation in the system is related to the speed of task completion and the interests of users. Adaptive The swarm intelligence computing task allocation algorithm can find out the current best allocation plan and distribute it according to the current situation, which has high practical value and has a wide market in the popularization of the online task allocation method of swarm intelligence computing based on mobile social networks prospect

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
  • Crowd-sourcing calculation online task allocation method based on mobile social network
  • Crowd-sourcing calculation online task allocation method based on mobile social network
  • Crowd-sourcing calculation online task allocation method based on mobile social network

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach

[0041] (1) At the initial stage, the user generates a task that is difficult to complete alone and requires the assistance of other users (for the sake of expression, we call the user who needs to send the task the task sender, and the user who assists in completing the task is the task assister), When the task sender has not established a connection with the task assisting party (that is, the user has not yet reached the wifi coverage area), according to the task assisting party and the parameters of the task, the probability of all task assisting parties successfully completing the task in the future is calculated, and there is a movement spare in the equipment;

[0042] (2) When the task sender reaches the wifi coverage area, the task sender can establish a connection with the task assister. When the two parties establish a connection, both parties will follow the new user parameters, and the task sender will send the task list to the task assister. The party selects a suit...

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 present invention discloses a crowd-sourcing calculation online task allocation method based on a mobile social network. The method comprises the following steps of: (1) a task issuer calculating the expected value of a success probability of finishing a crowd-sourcing calculation task according to associated information of each mobile social network user; (2) real-time updating and recalculating the expected value of finishing the task by the mobile social network user; and (3) performing online task allocation. According to the crowd-sourcing calculation online task allocation method based on the mobile social network, in the situations of changing the number of user tasks and the number of users in the network, the number of users, who finish the task, found by the method is less than the number of general established connections, i.e., allocation and random allocation algorithms, thereby saving costs quite well. The method has very high practical values and has broad market prospects in popularization.

Description

technical field [0001] The invention relates to the field of mobile technology, in particular to a mobile social network-based group intelligence computing online task assignment method. Background technique [0002] Swarm intelligence computing is a computing model that has emerged in recent years, mainly through mutual assistance between users to complete complex and large-scale computing tasks. Its main representative systems include crowdsourcing system and crowd sensing system. Among them, crowdsourcing refers to a distributed problem-solving method, that is, a task that is too large to be completed independently is divided into different small tasks and assigned to multiple users through the Internet for assistance. Crowd sensing is a multi-user cooperative sensing mode, which regards each user with a sensing device as an independent sensor, and uses them to assist in the completion of large-scale and complex social sensing tasks. In simple terms, crowd intelligence ...

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
IPC IPC(8): G06F9/46G06Q50/00
Inventor 茆华林肖明军黄刘生
Owner SUZHOU INST FOR ADVANCED STUDY USTC
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com