A task allocation method and system oriented to space-time constraints

Abstract

A spatio-temporal constraint oriented task allocation method and system for collecting data through a plurality of mobile terminals. The method includes: a task requester submits a task requirement toa cloud platform; A plurality of users submit data to the cloud platform through respective mobile terminals; The cloud platform performs preliminary task allocation according to the task requirements and the self-data submitted by each mobile terminal; According to the result of the preliminary task assignment, the cloud platform plans the sequence of tasks executed by each user, and sends the sequence to the user; According to the planned sequence, the plurality of users utilize the mobile terminal carried by the mobile terminal to collect the corresponding data, and transmit the collecteddata back to the cloud platform; The cloud platform transmits the returned data to the task requester. According to the method, the spatio-temporal constraint requirement of the task is satisfied andthe selected task set is reasonably planned for the user through calculation.

Description

technical field [0001] The present disclosure belongs to the field of information technology, and in particular relates to a time-space constraint-oriented task allocation method and system for collecting data through multiple mobile terminals. Background technique [0002] In recent years, with the rapid development of mobile computing and wireless communication technology, mobile smart devices (such as smart phones, tablet computers, smart watches, etc.) Sensors, such as cameras, microphones, gravity meters, GPS, gyroscopes, temperature sensors, blood pressure sensors, and more. This enables people to automatically and real-time perceive and collect surrounding environment information through mobile smart devices, and transmit the information to servers through wireless communication modules, such as cloud platforms, so that complex environmental and social perception tasks can be completed. The cloud platform needs to allocate each task to many participating users accord...

AI Technical Summary

Problems solved by technology

What is more difficult is that a user is often assigned multiple tasks, and each task has the above-mentioned time and space constraints. Therefore, the user needs to plan the execution order of all assigned tasks. At this time, the cost of the user to complete the task needs to be further considered and the cost of user movement, which further increases the difficulty of the problem

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