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

Mobility prediction-based crowd sensing user recruitment method and system

A mobile crowd sensing and mobile user technology, applied in the field of crowd sensing user recruitment based on mobility prediction, can solve the problem of not conforming to the development trend of mobile crowd sensing, hindering the development of mobile crowd sensing, and wasting resources of participating mobile users and other issues, to achieve the effect of strong practical value, broad market prospects, and good privacy protection

Inactive Publication Date: 2018-06-22
JILIN UNIV
View PDF3 Cites 8 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This mode is extremely unfriendly to mobile users, greatly wastes the resources of participating mobile users, does not conform to the development trend of mobile crowd sensing, and hinders the development of the field of mobile crowd sensing

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
  • Mobility prediction-based crowd sensing user recruitment method and system
  • Mobility prediction-based crowd sensing user recruitment method and system
  • Mobility prediction-based crowd sensing user recruitment method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0056] figure 1 It is a flowchart of an embodiment of the mobility prediction-based crowd sensing user recruitment method of the present invention, such as figure 1 As shown, the group intelligence sensing user recruitment method includes:

[0057] Step 101, sending a mobile crowd sensing task, the mobile crowd sensing task including budget, target location, task start time and task end time.

[0058] Step 102, obtaining individual expectation values ​​of multiple mobile users, where the individual expectation values ​​represent the probability that the mobile users arrive at the target location on time.

[0059] The personal expectation value is sent by the mobile device of the mobile user, and the specific calculation method of the personal expectation value is:

[0060] Obtain personal spatiotemporal trajectory information of mobile users; the personal spatiotemporal trajectory information includes: points of interest, time of entering said point of interest and time of l...

Embodiment 2

[0077] Embodiment 2 provides a mobility prediction-based crowd sensing user recruitment method, which specifically includes:

[0078] (1) In the preparation stage, mobile users collect their own spatiotemporal trajectory information, and construct a personal spatiotemporal semi-Markov mobility prediction model. A spatio-temporal trajectory is a collection of multiple spatio-temporal information triples , where l represents the point of interest, ts and te represent the time of entering and leaving the point of interest. According to the set of spatio-temporal information, the first core formula of the semi-Markov model can be obtained according to statistics:

[0079]

[0080] Among them, Z u (i, j, T) represents the probability that a mobile user transfers directly from point of interest i to point of interest j within T time, S u Indicates the sequence of POIs visited by mobile users, and the access time of POIs visited by mobile users. Obviously, the next POI visited b...

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 mobility prediction-based crowd sensing user recruitment method and system. The method comprises the steps of sending a mobile crowd sensing task, wherein the mobile crowd sensing task comprises a budget, a target location, task starting time and task termination time; obtaining personal expectation values of multiple mobile users, wherein the personal expected values represent the probabilities of reaching the target location on time by the mobile users; according to the personal expectation values and a data uploading mode, determining success probabilities, whereinthe success probabilities represent the probabilities of successfully finishing the mobile crowd sensing task by the mobile users; determining maximum values of the success probabilities; and determining the mobile users corresponding to the maximum values of the success probabilities as recruitment objects. According to the technical scheme, the applicability of a mobile crowd sensing application and a user recruitment module are improved.

Description

technical field [0001] The present invention relates to the technical field of mobile crowd sensing, in particular to a method and system for recruiting crowd sensing users based on mobility prediction. Background technique [0002] Mobile Crowdsensing (Mobile Crowdsensing) is a new type of mobile user-centric perception and computing paradigm. Its main purpose is to use the portable devices carried by a large number of mobile people to complete large-scale perception and computing tasks. Compared with traditional fixed-deployment wireless sensor networks, mobile crowd sensing not only greatly improves the perception and observation capabilities, but also breaks through the original limitations in terms of scalability. In recent years, mobile devices represented by smartphones have developed rapidly, and various types of miniaturized sensors have been embedded in mobile devices, greatly improving the perception capabilities of mobile devices. With the explosive popularity o...

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 Applications(China)
IPC IPC(8): G06Q10/10G06F17/30H04W4/021H04W4/02
CPCG06F16/29G06Q10/1053H04W4/021
Inventor 杨永健刘文彬栾东明王恩
Owner JILIN UNIV
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