A Drone-Assisted Edge Computing Approach Considering User Mobility

An edge computing and auxiliary computing technology, applied in computing, program control design, multi-program device, etc., can solve problems such as unconsidered dimension probability, unconsidered, difficult to obtain the global optimal solution, etc., to save computing time, The effect of reducing power consumption and reducing complexity

Active Publication Date: 2021-11-02
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

However, this invention does not consider the factor of idle devices with fixed addresses when solving the optimal position of the UAV. At the same time, it does not consider the dimension probability in the difference step. When there is strong mobility or there are other edge computing devices in the network, it is difficult to obtain the global optimal solution

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  • A Drone-Assisted Edge Computing Approach Considering User Mobility
  • A Drone-Assisted Edge Computing Approach Considering User Mobility
  • A Drone-Assisted Edge Computing Approach Considering User Mobility

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Embodiment Construction

[0086] The present invention is described in further detail now in conjunction with accompanying drawing.

[0087] It should be noted that terms such as "upper", "lower", "left", "right", "front", and "rear" quoted in the invention are only for clarity of description, not for Limiting the practicable scope of the present invention, and the change or adjustment of the relative relationship shall also be regarded as the practicable scope of the present invention without substantive changes in the technical content.

[0088] figure 1 It is a flowchart of a drone-assisted edge computing method considering user mobility in an embodiment of the present invention. In the new edge computing network assisted by drones, user equipment has certain mobility and computing tasks will be generated at any time. Due to the limited computing power of user terminal equipment, this embodiment considers the introduction of multiple drones and idle devices to help multiple Users process computing t...

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Abstract

The invention discloses a UAV-assisted edge computing method considering user mobility, including: establishing a UAV-assisted computing network driven by a digital twin; and using the UAV-assisted computing network to feed back users, UAVs and Real-time data, location and status of idle devices; with the goal of reducing the total user delay, use distributed deep learning to solve the user's unloading strategy; use differential evolution learning to solve the location deployment of drones. The present invention can effectively use the twin network to feed back user real-time data, obtain a global near-optimal solution UAV deployment and unloading strategy, and reduce user processing delay.

Description

technical field [0001] The present invention relates to the technical field of UAV-assisted edge computing, in particular to a UAV-assisted edge computing method considering user mobility. Background technique [0002] In recent years, IoT technology has flourished, providing real-time analytics for smart cities, smart transportation, entertainment management, and more. To support a large number of devices and process massive amounts of data in a timely manner, mobile edge computing supports these latency-sensitive applications by equipping ubiquitous computing resources near mobile user devices. Various research topics, such as task offloading, caching, and resource allocation, are based on the assumption that edge servers have already been placed. The question of how and where to deploy edge servers needs to be addressed. Due to the mobility and dynamic needs of users, current hotspots may cool off soon. To serve time-varying populations, researchers periodically map us...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F9/50G06N3/04
CPCG06F9/5072G06N3/045
Inventor 夏景明王澎李斌谈玲
Owner NANJING UNIV OF INFORMATION SCI & TECH
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