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Method for maximizing multi-unmanned aerial vehicle architecture income

A technology of multiple drones and drones, applied in the field of Internet of Things, can solve problems such as lack of

Active Publication Date: 2020-11-03
XIDIAN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, there is a lack of research on the benefits of UAV-assisted mobile edge computing systems. Therefore, it is urgent to maximize UAV-assisted mobile edge computing systems while considering the quality of experience of users and the operating costs of operators. net income calculation model

Method used

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  • Method for maximizing multi-unmanned aerial vehicle architecture income
  • Method for maximizing multi-unmanned aerial vehicle architecture income
  • Method for maximizing multi-unmanned aerial vehicle architecture income

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Embodiment Construction

[0120] The specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0121] In order to verify the effectiveness of the proposed mechanism of the present invention, the present invention has carried out a large number of experiments. Simulation of the present invention is based on the MATLAB platform, and necessary parameters are all summarized in figure 2 middle. In particular, energy unit prices are set according to China's real-time electricity prices. The present invention considers a total of 9 areas to be served, they are randomly distributed in 500*500m 2 In the region, the area of ​​each region is 30*30m 2 , and there are 3 to 6 IoT nodes in each region.

[0122] Different users have different requirements. For example, users ...

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Abstract

The invention relates to the technical field of Internet of Things, in particular to a method for maximizing multi-unmanned aerial vehicle architecture income, which designs a parameterized net incomemodel by balancing the experience quality of a user and the operation cost of an operator, and optimizes a communication, calculation and cache resource allocation strategy together, so as to maximize the multi-unmanned aerial vehicle architecture income. The net income of unmanned aerial vehicle assisted mobile edge calculation is maximized while user requirements are met, and on this basis, a multi-dimensional hybrid adaptive particle swarm algorithm is provided to solve the joint optimization problem.

Description

technical field [0001] The invention relates to the technical field of the Internet of Things, in particular to a method for maximizing the benefits of a multi-UAV architecture. Background technique [0002] With the variety and complexity of the development of the Internet of Things, the computing demands of the tasks on the Internet of Things have reached an unprecedented level. However, due to the limited computing and battery capabilities of the Internet of Things, it is difficult to handle computing-intensive tasks locally, and UAVs have been widely used due to their low cost, high flexibility, and air-to-ground visual communication channel connectivity. Applied to provide enhanced information coverage and relay services for the Internet of Things, UAVs fly over the area to be served, each area has multiple IoT devices, and UAVs transfer tasks that are difficult to handle locally from IoT devices The mobile edge computing server is forwarded to the mobile edge computin...

Claims

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Application Information

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IPC IPC(8): H04L12/24H04B7/185H04W28/14H04L29/08G06F17/18G06N3/00
CPCH04L41/145H04B7/18506H04W28/14H04L67/10G06F17/18G06N3/006H04L67/568Y02T10/40
Inventor 任智源郑书亚程文驰王晨陈晨张海林
Owner XIDIAN UNIV
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