UAV Information Detection and Processing System Based on DTN algorithm

Liping Wu, Xiaobing Liao
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Abstract

Based on the movement characteristics of UAV network nodes and the mobile model of aviation self-organized network nodes, this paper improves the model deceleration process and the transition relationship between different operating states. On the basis of the improved mobile model, a node link connection prediction method based on hidden Markov model is proposed. The topology model of satellite and UAV hybrid network is built by using the updated discrete graph, and the connection probability is introduced. Through simulation, TMDR can achieve the minimum transmission delay when meeting the constraint task requirements, which verifies the feasibility of data transmission based on the updated discrete graph.
基于DTN算法的无人机信息检测与处理系统
基于无人机网络节点的运动特性和航空自组织网络节点的移动模型,改进了模型的减速过程和不同运行状态之间的过渡关系。在改进的移动模型的基础上,提出了一种基于隐马尔可夫模型的节点链路连接预测方法。利用更新后的离散图建立了卫星与无人机混合网络的拓扑模型,并引入了连接概率。通过仿真,TMDR能够在满足约束任务要求的情况下实现最小的传输延迟,验证了基于更新后的离散图进行数据传输的可行性。
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