文章詳目資料

Journal of Computers EIMEDLINEScopus

  • 加入收藏
  • 下載文章
篇名 Multi-Objective Genetic Algorithm for Civil UAV Path Planning Using 3G Communication Networks
卷期 28:6
作者 Fan-Hsun Tseng 、 Cho-Hsuan Lee 、 Li-Der Chou 、 Han-Chieh Chao
頁次 026-037
關鍵字 3G 、 civil unmanned aerial vehicle 、 genetic algorithm 、 multi-objective optimization 、 path planning 、 EI 、 MEDLINE 、 Scopus
出刊日期 201712
DOI 10.3966/199115992017122806003

中文摘要

英文摘要

Unmanned Aerial Vehicles (UAVs) have been extensively applied to various applications, such as military aircraft exploration, image transmission for dangerous terrain, relief of disaster. In general, civil UAVs utilize satellite, Global Positioning System, Wi-Fi or the third generation of mobile telecommunications (3G) for data transmission. However, the transmission range of above-mentioned communication technologies limits the flight route of civil UAVs. In this paper, we utilize 3G communication networks for data transmission of civil UAVs. We proposed the multi-objective Genetic algorithm (MOGA) to maximize received signal strength and minimize the path length of flight route. In our simulation-based analysis, the proposed MOGA is superior to the previous proposed signal-greedy and path-greedy algorithms. The simulation results show that the proposed MOGA yields the 1.32 and 3.22 times better signal quality compared to signal-greedy and path-greedy algorithms.

本卷期文章目次

查看更多

關鍵知識WIKI

查看更多

相關文獻