Social network-utilizing mobile gunz perception and excitation method

A mobile crowd sensing and social network technology, applied in the field of mobile crowd sensing incentives, can solve the problem of a small number of registered users, achieve the effect of preventing market monopoly and improving the completion rate

Inactive Publication Date: 2018-04-20
NANJING UNIV OF POSTS & TELECOMM
View PDF0 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the number of registered users of most existing crowd sensing systems is not large, espec

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
  • Social network-utilizing mobile gunz perception and excitation method
  • Social network-utilizing mobile gunz perception and excitation method
  • Social network-utilizing mobile gunz perception and excitation method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0041] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0042] A mobile crowd sensing incentive method using social networks described in the present invention is embodied as a reverse auction process between the task owner and the user, and the process is as follows figure 1 As shown, the steps are as follows:

[0043] Step 201: The task owner broadcasts m perception tasks to his social neighbors through the social network per perception task For the task owner, there is a corresponding value v j , and its corresponding reserve price d j , d j is the highest price that the task owner is willing to pay for task j;

[0044] Step 202: Set user set as U={1,2,...,n}, user i submits bid in is a triplet, l i denotes the recruiter who recruited user i, t i Denotes the task that user i wants to perceive, Denotes user i's response to task t i quotation;

[0045] Step 203: The task owner calculates...

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 mobile group intelligence sensing incentive method using a social network, which can be used for a mobile group intelligence sensing system with a shortage of registered users, especially a small number of active users. In this method, the system consists of three parts, task owner, social network and users. The task owner broadcasts the sensing task to his social neighbors through the social network, and the user submits a bid with a quotation to the task owner, and at the same time continues to broadcast the task on their social network to recruit more users to participate in group sensing. The task owner selects the winner from the users according to the user's quotation, and calculates the corresponding reward. For users who successfully recruit other users, this method calculates and pays the corresponding rewards to the recruiter. A mobile group intelligence sensing incentive method utilizing social networks proposed by the present invention satisfies individual rationality, profitability, computational effectiveness, authenticity and time sensitivity.

Description

technical field [0001] The invention belongs to the intersecting field of the Internet and algorithmic game theory, and in particular relates to a method for motivating mobile group intelligence sensing using a social network. Background technique [0002] Mobile crowd sensing is an effective method for completing complex large-scale social sensing tasks through conscious and unconscious collaboration using mobile sensing devices of ordinary users through the mobile Internet. [0003] But most of the crowd sensing models assume that there are already a large number of users in the mobile crowd sensing system. However, most of the existing crowd sensing systems have not many registered users, especially the number of active users only accounts for a very small proportion of the total number of users. Through research, we choose to use mobile social networks for group intelligence perception. [0004] Because users need to consume device energy, computing power, storage spac...

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): G06Q30/06G06Q30/08G06Q50/00
CPCG06Q30/0611G06Q30/08G06Q50/01
Inventor 徐佳王玉婵郭亮顾华玥吴浩博欧雅轩徐力杰王磊徐小龙李涛
Owner NANJING UNIV OF POSTS & TELECOMM
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