摘要
无人机自组织网络在商业、科研、军事等领域具有极其广泛的运用,为了保障网络通信服务的可靠性,对路由协议有明确的要求。采用人工智能对无人机自组网络路由进行优化是近年来研究的热点。为此,本文围绕基于人工智能的无人机自组网路由算法,对采用启发式和机器学习的路由协议进行了分析、归纳和比较,并对其代表性算法进行了描述,总结了算法优势,最后探讨了未来的技术挑战。
The drone self-organizing network has an extremely wide range of applications in the fields of commerce,scientific research,military,etc.In order to ensure the reliability of network communication services,there are clear requirements for routing protocols.The use of artificial intelligence to optimize the routing of drone self-organizing networks is a hot topic in recent years.For this reason,this paper focuses on the drone Ad Hoc network routing algorithm based on artificial intelligence,analyzes,concludes and compares the routing protocols using heuristics and machine learning,describes its representative algorithms,summaries the advantages of the algorithm,and finally discusses future technical challenges.
作者
王庆
邓小芳
朋静
秦真
廖勇
WANG Qing;DENG Xiao-feng;PENG Jing;QIN Zhen;LIAO Yong(Hangzhou Changwang Zhichuang Technology Co.,Ltd,Hangzhou,Zhejiang 310012,China;College of Physics,Chongqing University,Chongqing 401331,China;School of Microelectronics and Communication Engineering,Chongqing University,Chongqing 400044,China)
出处
《新一代信息技术》
2023年第20期34-40,共7页
New Generation of Information Technology
基金
杭州长望智创科技有限公司科技项目(No.HCZC-20231122)
关键词
人工智能
机器学习
深度强化学习
无人机
路由
artificial intelligence
machine learning
deep reinforcement learning
drones
routing
