随着雷达网络传输技术的发展,雷达网络中的数据拥塞和流量分配不均衡问题亟待解决。文中针对多个被覆线与无线AP所组成的雷达传输网络中的流量分配不均衡问题,对多链路负载均衡算法(CIAP)中的任务调度算法进行改进。算法依据网络传输链路本身的固有特性,在进行链路碎片调度时,采用模糊聚类的思想对任务调度算法进行改进,该算法根据网络中各链路的剩余带宽和链路时延对负载较大的链路的路由碎片进行实时调度。实验结果表明,与传统的基于循环招标任务调度的多链路负载均衡算法比较,改进的算法能够迅速高效地均衡雷达网络中的链路负载。

With the development of radar network transmission technology, the problem of uneven flow distribution and data congestion of radar network must be solved. In this paper, the multi-link load balancing algorithm (CIAP) was improved, aiming to solve the uneven distribution of the radar network, which was composed of multiple coating line and wireless AP. The algorithm was based on the inherent characteristics of network transmission link itself. When the routing debris were dispathed, the thought of fuzzy clustering was adopted to improve scheduling algorithm. The scheduling algorithm based on the remaining bandwidth and link delay of each link in the network to dispath the debris real-time. It was shown in the experimental results that, compared with traditional task scheduling based on circulation tender, the link load was balanced by the improved multi-link load balancing algorithms efficiently and rapidly.