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  

A Location Prediction Based Geographic Routing Algorithm for UAV-assisted Maritime Ad Hoc Networks

作　　者：周天香 夏玮玮[1] 燕锋[1] ZHOU Tianxiang;XIA Weiwei;YAN Feng(Southeast University National Mobile Communications Research Laboratory,Nanjing 210096,China)

机构地区：[1]东南大学移动通信国家重点实验室,江苏南京210096

出　　处：《移动通信》2023年第10期9-16,共8页Mobile Communications

基　　金：国家自然科学基金项目“基于同调理论的无线传感器网络k重覆盖若干算法研究”(61601122);江苏省重点研发计划(产业前瞻与关键核心技术)“智能边缘网络协同组织与重构技术研究”(BE2020084-2)。

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。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.

关 键 词：地理位置路由算法 无人机 海面自组网 

分 类 号：TN929.5[电子电信—通信与信息系统]