Deep sea information service quality optimization method based on unmanned aerial vehicle network

Abstract

The invention relates to a deep sea information service quality optimization method based on an unmanned aerial vehicle network. The method comprises the steps: building a hybrid network invention embodiment based on an offshore base station and an air base station, wherein the air base station comprises L standby position base stations; selecting at least one standby position base station from the L standby position base stations according to a greedy algorithm, adding the selected standby position base stations into the offshore base station, and forming a first hybrid network; calculating the optimal deployment height of the air base station in the first hybrid network by using a heuristic algorithm; after the height deployment of the air base station is completed, adjusting the horizontal position of the air base station according to the actual position of the offshore user, and moving the air base station to the central point of the served offshore user. The unmanned aerial vehicle base stations are further deployed on the sea surface where the offshore base stations are deployed, so that the coverage range and the overall capacity of an ocean information network are improved,and information coverage of sparse regions of the offshore base stations is effectively enhanced.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a method for optimizing the service quality of deep and open sea information based on a UAV network. Background technique [0002] In recent years, the development of marine industry has been paid more and more attention by countries all over the world. In order to meet the major needs of the development of various marine industries, it is necessary to build a comprehensive marine information network to achieve seamless, efficient and reliable information coverage of the vast sea area. However, compared with the more mature land-based information network, due to the large differences in the electromagnetic environment, user distribution, and node performance of the marine information network, and the relative shortage of communication and network resources such as energy, bandwidth, storage, and computing, These factors seriously limit the service efficiency and ca...

AI Technical Summary

Problems solved by technology

However, people are still exploring how to deploy aerial networks in the original offshore base station network to solve the problem of network capacity overload.

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