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不确定的移动应用环境导致MANET网络性能失控的关联因素变得复杂,使得设计一个适用的MANET面临着诸多困难。该文针对基于无人机的MANET,探索关键网络参数约束下提升网络性能的优化策略。通过将MA-NET节点的负载和数据包优先级作为权重参数,将优化网络性能的无人机移动问题构造为无人机与MANET节点距离平方的加权和最小化的优化问题,进而提出一种基于负载和优先级加权质心的无人机移动策略。此外,仿真分析了网络负载、数据包优先级对网络性能的影响。研究结果表明:本文提出的无人机移动策略能够有效地提升数据包成功发送率,降低数据包平均时延。
The uncertainties in the mobile application environment complicate the associated factors of MANET network performance and make it difficult to design a suitable MANET. In this paper, based on the MANET, this paper explores the optimization strategy to improve network performance under the constraints of key network parameters. By using the load and packet priority of MA-NET nodes as the weight parameters, the UAV optimization problem that optimizes the network performance is constructed as the optimization problem of weighted summation of the distance square between the UAV and MANET nodes. UAV Movement Strategy Based on Load and Priority Weighted Centroid. In addition, the simulation analysis of the network load, packet priority on the network performance. The results show that the proposed UAV mobile strategy can effectively improve the success rate of data packets and reduce the average packet delay.