As the core of packet classification technology, the performance of packet classification algorithm has a crucial influence on the time delay and throughput of the network.
包分类算法作为包分类技术的核心，其性能对网络的时延和吞吐量有决定性的影响。
The simulation results show that this method can strengthen the processing capability of congestion and random errors, and it can also improve the throughput of the network efficiently.
仿真结果表明，该方法增强了网络对拥塞以及随机差错的判断处理能力，有效提高了网络的吞吐量。
Theoretical analysis results show this scheme can increase the probability of neighbor discovery and the data throughput of the network through the introduction of asynchrony scan frames.
理论分析结果表明，异步扫描帧的引入使该方案有效提高了邻节点发现概率和网络数据吞吐量。
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