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Data aggregation used for congestion control in WSN based on similar degree reduction

机译:基于相似度降低的WSN中用于拥塞控制的数据聚合

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A data aggregation preprocessing algorithm for congestion control in wireless sensor networks is proposed in this paper. The algorithm decrease the repeating packet of nodes by reducing data of multiple group sensing data which belongs to a aggregation cycle with similar coefficient, thus can ease congestion of the networks. The experimental results show that this algorithm can reduce communication traffic load of network effectively, and data after similar aggregation processing and truth value can maintain higher coincidence degree.
机译:提出了一种用于无线传感器网络中拥塞控制的数据聚合预处理算法。该算法通过减少属于具有相似系数的聚合周期的多个组感知数据的数据来减少节点的重复分组,从而可以缓解网络的拥塞。实验结果表明,该算法可以有效降低网络的通信流量负荷,经过类似的聚合处理和真实值后的数据可以保持较高的重合度。

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