High-energy-efficiency data collection method and system based on track and resource joint optimization

Abstract

The invention discloses a track and resource joint optimization-based high-energy-efficiency data collection method and system, and the method comprises the steps: introducing the energy efficiency of a system, and researching the energy transmission efficiency of an Internet of Things node cluster assisted by an unmanned plane; according to the method, Internet of Things transmission energy, unmanned aerial vehicle propulsion energy, Internet of Things communication service requirements, unmanned aerial vehicle tracks and communication scheduling between Internet of Things nodes are considered at the same time, system energy efficiency is optimized from the two aspects of Internet of Things transmission energy and unmanned aerial vehicle propulsion energy, and joint optimization of unmanned aerial vehicle tracks and Internet of Things communication resources is covered; firstly, a communication scene between a single unmanned aerial vehicle and multiple ground Internet of Things equipment is constructed, then the total transmission data volume, the Internet of Things total power and the propulsion power of the unmanned aerial vehicle are solved respectively, an expression of system energy efficiency is obtained, the expression is converted into a form which is easy to process by using a Dinkelbach method, that is, an original fraction optimization problem is converted into a subtraction problem and approximation is performed, and the system energy efficiency is improved. And a block coordinate descent method is further adopted to iteratively update the flight path of the unmanned aerial vehicle and communication resources of the Internet of Things.

Description

technical field [0001] The invention belongs to the technical field of airport communication, and in particular relates to a high-energy-efficient data collection method and system based on joint optimization of trajectory and resources. Background technique [0002] With the maturity and commercial deployment of 5G mobile communication networks, people are constantly advancing the research on 6G wireless systems. The Internet of Things (IoT), as one of the basic elements of the 5G era, is developing towards the Internet of Everything, enabling ubiquitous perception, computing and communication to move towards an interconnected and smarter world. The Internet of Things integrates a large number of low-cost, low-power nodes, which is convenient for large-scale deployment, and has a wide range of applications in agriculture, industry, urban management and other fields. In this regard, a large number of IoT devices are required to generate vast amounts of data in order to digi...

AI Technical Summary

Problems solved by technology

[0007](1) There is a huge bottleneck problem in the energy of UAV-assisted Internet of Things

[0008](2) Most of the traditional research work considers each IoT node independently, when the number of IoT nodes surges, its scalability is greatly challenged

[0009](3) Existing work rarely studies UAV-assisted IoT from a system perspective

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