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Fusion Coding Algorithm of Node Energy in Wireless Sensor Networks

机译:无线传感器网络中节点能量的融合编码算法

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The fundamental issue in the design of wireless sensor networks is to extend the life span of networks as much as possible. The data communications between nodes are the main consumer of energy. Data fusion plays a critically important role in reducing data communication amount and energy consumption in the nodes. In the paper, the residual energy in the nodes is regarded as the fusion object, and based on node networks topological structure, various strategies are applied to express energy of cluster members and node headers, and fusion data. Among which the residual energy of cluster member nodes are signified in percentage. After cluster head nodes collect residual energy data of their member nodes, these data will be effectively integrated. Firstly, the energy percentage expression ways are projected in the same-rank way. Secondly, the weight of each cluster member will be revised according to the information theory. Thirdly, encode these data by using Huffman coding, so that the communication data length between nodes can be effectively shortened under the condition of ensuring the data accuracy. The experiment results show that the algorithm can accurately obtain networks area energy, effectively reduce the data communication amount within networks, so as to lengthen the duration of nodes within networks.
机译:无线传感器网络设计中的基本问题是尽可能地延长网络的寿命。节点之间的数据通信是能量的主要消费者。数据融合在降低节点中的数据通信量和能量消耗方面发挥着批判性重要作用。在本文中,节点中的残余能量被视为融合对象,基于节点网络拓扑结构,应用各种策略来表达集群成员和节点报头的能量和融合数据。其中簇成员节点的剩余能量以百分比表示。群集头节点收集其成员节点的剩余能量数据后,这些数据将有效地集成。首先,能量百分比表达方式以相同等级方式投影。其次,每个集群成员的权重将根据信息理论进行修订。第三,通过使用霍夫曼编码来编码这些数据,从而可以在确保数据精度的条件下有效地缩短节点之间的通信数据长度。实验结果表明,该算法可以准确地获得网络区域能量,有效地降低网络内的数据通信量,以延长网络内的节点的持续时间。

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