Multi-user multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition

A technology of energy acquisition and edge computing, applied in the direction of reducing energy consumption, network traffic/resource management, advanced technology, etc., can solve problems such as wireless channel status and unpredictability of energy consumption

Active Publication Date: 2019-12-27
CENT SOUTH UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of challenging resource management and allocation in the prior art due to the unpredictability of task arrival, wireless channel state and energy consumption, the present invention proposes a multi-user multi-task based on heterogeneous energy acquisitio

Method used

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  • Multi-user multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition
  • Multi-user multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition
  • Multi-user multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition

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Embodiment Construction

[0082] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0083] Use Matlab software (R2016a, MathWorks, Natick, Massachusetts, MA, USA) to simulate, and provide simulation results to evaluate a kind of multi-user multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition proposed by the example of the present invention (ECM) - Performance of the RMA algorithm. The rationality and efficiency of the ECM RMA algorithm in minimizing energy consumption are verified.

[0084] Simulation settings in all simulations, energy emitters on APs have p ap = 3W. We consider the small-scale Rayleigh fading channel model, and the channel gain here, Denotes that the mean channel gain is determined by the geographic location of WD m, and α is a random variable with unit mean irrelevance exponent. Specifically, Follow the model below:

[0085]

[0086] This is a free space path lo...

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Abstract

The invention discloses a multi-user multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition. The method comprises the following steps: firstly constructing a problem of minimizing the average energy consumption under the guarantee of time delay on the premise of meeting the stability constraint of a data queue and the stability constraint of an energy queue; in order to solve the random optimization problem, the problem is converted into two deterministic sub-problems, and a convex optimization technology and a linear programming technology are respectively adopted to solve the two deterministic sub-problems. The method does not need priori knowledge of a random process, such as channel state, data arrival and green energy collection. And energy consumption-time delay balance of [O (1/V), O (V)] is realized. And V is used as a non-negative weight, so that the energy consumption-time delay performance can be effectively controlled.

Description

technical field [0001] The invention belongs to the field of mobile edge computing, and in particular relates to a multi-user and multi-task mobile edge computing energy-saving method based on heterogeneous energy acquisition. Background technique [0002] As a ubiquitous computing paradigm, IoT is exploding in computing-intensive mobile applications such as autonomous driving, virtual reality, and interactive online gaming. Based on the consideration of the size and production cost of wireless devices (such as sensors) in the Internet of Things, the battery capacity of wireless devices is often limited, while being energy-efficient and low-performance processors. Therefore, resource-constrained devices severely limit the development of computationally intensive applications. Therefore, in the field of research and development of modern Internet of Things technology, how to eliminate this bottleneck is a key issue. [0003] Today, this limitation is addressed by offloading...

Claims

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Application Information

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IPC IPC(8): H04W24/02H04W28/02H04W52/02H04W52/36
CPCH04W24/02H04W28/0221H04W28/0236H04W52/0203H04W52/367Y02D30/70
Inventor 吴嘉陈志刚张恒欧阳伍
Owner CENT SOUTH UNIV
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