仿真实验表明，所提出的算法能够准确地对实时可变比特率视频流量进行预测，有效地降低排队时延，减小队列长度并提高带宽利用率。
The simulation results show that this algorithm can significantly improve the quality-of-service (QoS) performances in terms of low delay, small buffer and high utilization.
与集中式分类算法相比较，基于移动代理的分布式分类算法可以减小带宽需求，平衡各个节点之间的计算、存储和能量消耗。
Compared with the centralized classification algorithm, the proposed algorithm can reduce the bandwidth requirement, and balance the computation, storage and power consumption among sensor nodes.
与集中式分类算法相比较，基于移动代理的分布式分类算法可以减小带宽需求，平衡各个节点之间的计算、存储和能量消耗。
Compared with the centralized classification algorithm, the proposed algorithm can reduce the bandwidth requirement, and balance the computation, storage and power consumption among sensor nodes.
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