【摘要】 为解决传统海上通信方式中卫星通信传输时延较长，岸基通信覆盖范围有限的问题，提出一种基于位置预测的无人机辅助海面自组网地理路由算法。所提算法采用高斯马尔科夫模型获取节点的预测位置。若遇到路由空洞，转发节点发起两跳转发过程。多因素决策考虑距离、速度、邻居数量和路径有效期，同时利用主成分分析计算各因素的权重，以做出精确的路由决策。基于OMNeT++平台上进行仿真，结果表明所提算法在减少时延、提高数据包投递率方面具有显著效果。因此结论认为本研究任务所提算法具有实用性和可行性。更多还原

【Abstract】 In order to solve the problems of long satellite communication transmission delay and limited coverage of shore-based communications in traditional maritime communication methods, a location prediction based geographic routing algorithm is proposed for UAV-assisted maritime ad hoc networks. The proposed algorithm uses Gauss Markov model to obtain the prediction locations of nodes. When the routing voids occurs, the forwarding node will launch a two-hop forwarding process. Considering the distance, speed, neighbor number, and path expiration, the multi-factor decision adopts the principal component analysis to calculate the weights of each factor to make accurate routing decisions. Based on the simulations on OMNeT++ platform, the results show that the proposed algorithm can greatly reduce end-to-end delay and improve packet delivery rate, thereby demonstrating its practicality and feasibility.更多还原