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Calculating the Number of Cluster Heads Based on the Rate-Distortion Function in Wireless Sensor Networks

机译:基于无线传感器网络中的速率失真函数计算群集头的数量

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Due to limited resources in wireless sensor nodes, energy efficiency is considered as one of the primary constraints in the design of the topology of wireless sensor networks (WSNs). Since data that are collected by wireless sensor nodes exhibit the characteristics of temporal association, data fusion has also become a very important means of reducing network traffic as well as eliminating data redundancy as far as data transmission is concerned. Another reason for data fusion is that, in many applications, only some of the data that are collected can meet the requirements of the sink node. In this paper, we propose a method to calculate the number of cluster heads or data aggregators during data fusion based on the rate-distortion function. In our discussion, we will first establish an energy consumption model and then describe a method for calculating the number of cluster heads from the point of view of reducing energy consumption. We will also show through theoretical analysis and experimentation that the network topology design based on the rate-distortion function is indeed more energy-efficient.
机译:由于无线传感器节点的资源有限,能效被认为是无线传感器网络(WSNS)拓扑设计中的主要约束之一。由于由无线传感器节点收集的数据表现出时间关联的特征,因此数据融合也成为降低网络流量的非常重要的手段,以及尽可能地消除数据冗余。数据融合的另一个原因是,在许多应用中,只有一些收集的数据都可以满足宿节点的要求。在本文中,我们提出了一种基于速率失真函数在数据融合期间计算群集头或数据聚合器的数量的方法。在我们的讨论中,我们将首先建立能耗模型,然后描述从减少能量消耗的角度来计算群集头数的方法。我们还将通过理论分析和实验表明,基于速率失真函数的网络拓扑设计确实更节能。

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