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Task unloading method and device for unmanned aerial vehicle assisted mobile edge computing

An edge computing and mobile-assisted technology, applied in the field of drones, can solve the problems of unrealistic infrastructure installation and poor utilization of MEC equipment, and achieve the effect of alleviating communication congestion

Pending Publication Date: 2022-04-12
INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
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Problems solved by technology

Also, it is not practical to install infrastructure for temporary use or in rural areas such as hotspots and mountainous areas
In the above cases, the installed MEC equipment cannot be well utilized

Method used

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  • Task unloading method and device for unmanned aerial vehicle assisted mobile edge computing
  • Task unloading method and device for unmanned aerial vehicle assisted mobile edge computing
  • Task unloading method and device for unmanned aerial vehicle assisted mobile edge computing

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Embodiment Construction

[0045] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them.

[0046] Mobile edge computing (MEC) has become popular as a key technology for communication, computing and caching. By reaping the advantages of easy deployment and flexibility of unmanned aerial vehicles (UAVs), one of the main functions of MEC is to adopt unmanned aerial vehicles equipped with MEC servers. Man-machine, providing computing support for offloading tasks for mobile users in temporary hot spots or in certain emergency situations, such as sports competition areas or areas destroyed by natural disasters. Although the UAV carried with the MEC server has many advantages, it is limited by its limited computing resources and sensitive energy cons...

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Abstract

The invention discloses a task unloading method and device for unmanned aerial vehicle assisted mobile edge computing, and the method comprises the steps: constructing a communication model, transmitting a computing task of the communication model to an unmanned aerial vehicle, obtaining an energy consumption value and a data transmission rate between the unmanned aerial vehicle and terminal equipment when the unmanned aerial vehicle approaches the terminal equipment, and transmitting the energy consumption value and the data transmission rate to the terminal equipment; calculating transmission time and transmission energy consumption according to the energy consumption value and the data transmission rate; and an unloading calculation model is constructed, unloading calculation and local calculation are executed, waiting time of the terminal equipment in the virtual queue is obtained, the percentage of tasks for unloading and controlling the unmanned aerial vehicle at the next position is determined, and the first task is unloaded to the unmanned aerial vehicle according to the task percentage. According to the method, aiming at a continuous problem in uncertainty, an optimized unmanned aerial vehicle track design and user unloading task ratio scheduling are provided, the capability of assisting MEC unloading tasks by the unmanned aerial vehicle is improved, and the system stability is improved to the maximum extent.

Description

technical field [0001] The present application relates to the technical field of drones, in particular to a task offloading method and device for drone-assisted mobile edge computing. Background technique [0002] The growing popularity of the Internet of Things (IoT) provides a promising platform for complex mobile applications such as autonomous driving, augmented reality, and various cognitive applications. With the rapid development of various mobile applications, it causes network traffic congestion and long delays. The demand for wireless communications has reached unprecedented levels. At the same time, most mobile applications are designed with latency, computation-intensive, and energy-intensive factors in mind. Therefore, designers expect to provide a computing mechanism with low latency and controllable energy, so as to achieve the purpose of invoking . In order to improve computing speed, relieve communication congestion, and save energy consumption of mobile ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50
Inventor 章路蔡澎张紫燕
Owner INST OF URBAN ENVIRONMENT CHINESE ACAD OF SCI
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