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Efficient and safe multi-user multi-task unloading method in mobile internet of things

A mobile and multi-user technology, applied in the direction of multi-program device, program startup/switching, resource allocation, etc.

Active Publication Date: 2020-05-08
HARBIN INST OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

An efficient, safe, and multi-user multi-task computing offloading model applied to MEC is not provided in the prior art

Method used

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  • Efficient and safe multi-user multi-task unloading method in mobile internet of things
  • Efficient and safe multi-user multi-task unloading method in mobile internet of things
  • Efficient and safe multi-user multi-task unloading method in mobile internet of things

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Embodiment Construction

[0092] combined with Figures 1 to 6 The present invention is described in detail as follows:

[0093] The overall process of the technical solution of the present invention is as follows: First, the problem of wireless and computing resources is jointly solved to ensure that shared resources can be effectively used in a multi-user solution. In addition, use the JPEG compression algorithm to reduce transmission overhead. And, to meet the security requirements, security layers are introduced to protect the transmitted data from cyber attacks. Then, an integrated model of resource allocation, compression, and security is formulated as an integer nonlinear problem with the goal of minimizing the weighted sum of energies under a time constraint. But this problem is considered to be NP-hard, and finally linearization and relaxation methods are used to transform the problem into a convex problem. Next, the system model, calculation strategy, compression strategy, security strateg...

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Abstract

The invention discloses an efficient and safe multi-user multi-task unloading method in a mobile internet of things, relates to the field of mobile edge calculation of the mobile internet of things, and aims to minimize the weighted sum of energy consumption under the constraint of time and reduce the task unloading energy consumption. The method includes: establishing a communication model; quantifying the overhead of local calculation and unloading calculation according to a resource allocation strategy; according to the compression strategy, adopting a JPEG algorithm to compress the user data transmitted during unloading calculation so as to reduce energy consumption; adopting a security policy; adopting an optimizing strategy; constructing an integrated model considering resource allocation, compression and security, wherein the model is expressed as an integer nonlinear problem, and the objective of the problem is to minimize the weighted sum of energy under time constraints to obtain an optimal solution of a task unloading decision and a task compression decision. Network resource limitation of the mobile Internet of Things is reduced, resource allocation, transmission data compression and safety are considered while a calculation task is unloaded, and the weighted sum of energy consumption is minimized under the constraint of time.

Description

technical field [0001] The invention relates to a multi-user and multi-task unloading method, and relates to the field of mobile edge computing of the mobile internet of things. Background technique [0002] Mobile IoT has been increasingly integrated into various systems and exists in various fields such as education, commerce, gaming, security, and healthcare. Many of these applications require high data rates and exponentially increasing computing power, and a single embedded mobile IoT device is no longer sufficient. In addition, the limited battery capacity of mobile IoT devices and energy consumption issues further limit the execution of such resource-demanding applications over the Internet. [0003] Mobile edge computing (MEC) is a new tool applied to highly resource-demanding mobile IoT applications. In MEC, servers are located at the edge of the mobile network, and they provide storage and processing functions to mobile devices in the network. For example, for a...

Claims

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Application Information

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IPC IPC(8): G06F9/50G06F9/48
CPCG06F9/5027G06F9/4881G06F2209/5017Y02D10/00
Inventor 张伟哲魏博文方滨兴何慧王德胜余翔湛张玥周勇林李志刚朱勇崔丽杰张羽
Owner HARBIN INST OF TECH
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