智能服务背景下无线通信无人机的协同组网与信息处理系统

IF 1.8 4区 计算机科学 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Zhiyong Chen
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引用次数: 0

摘要

为了解决数字信息时代对许多技术和工业领域的巨大冲击,本文提出了一种周期性快速搜索遗传算法。本文以侦察任务为基础,将通用分配策略引入任务规划,构建了多无人机协同侦察任务规划决策数学模型。本文提出的周期性快速搜索遗传算法用于解决多无人机协同侦察任务规划问题。2020年,全球无人机技术支出的行业增长率高达30.6%,中国无人机的复合增长率达到63.5%,足以看出无人机技术与不同产业融合发展的巨大前景。实验通过对比梅克尔树和线性两种数据结构,以及存储和验证日志的时间和内存开销,对无人机日志验证模块进行了评估,显示了本文日志验证方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cooperative networking and information processing system of wireless communication UAV under the background of intelligent service

In order to solve the huge impact of the digital information age on many technical and industrial fields, a periodic fast search genetic algorithm is proposed. Based on the reconnaissance mission, this paper introduces the common allocation strategy into mission planning, and constructs the mathematical model of multi unmanned aerial vehicle (UAV) cooperative reconnaissance mission planning decision-making. The proposed periodic fast search genetic algorithm is used to solve the problem of multi UAV cooperative reconnaissance mission planning. In 2020, the industry growth rate of global UAV technology expenditure was as high as 30.6%, and the compound growth rate of UAV in China reached 63.5%, which is enough to see the great prospect of the integrated development of UAV technology and different industries. The experiment evaluates the log verification module of UAV by comparing the two data structures of Merkle tree and linear, and the time and memory overhead of storing and verifying logs, which shows the effectiveness of the log verification scheme in this paper.

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来源期刊
Computational Intelligence
Computational Intelligence 工程技术-计算机:人工智能
CiteScore
6.90
自引率
3.60%
发文量
65
审稿时长
>12 weeks
期刊介绍: This leading international journal promotes and stimulates research in the field of artificial intelligence (AI). Covering a wide range of issues - from the tools and languages of AI to its philosophical implications - Computational Intelligence provides a vigorous forum for the publication of both experimental and theoretical research, as well as surveys and impact studies. The journal is designed to meet the needs of a wide range of AI workers in academic and industrial research.
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