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A low energy algorithm of wireless sensor networks based on fractal dimension

机译:基于分形尺寸的无线传感器网络的低能量算法

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摘要

An optimization algorithm (LEA algorithm) of wireless sensor networks based on network fractal dimension calculation is proposed and intended to tackle energy limitation of nodes and their imbalanced energy consumption. Compared with LEA algorithm about the energy consumption, which is based on both long range dependence model (PFM model) and short range related model (TIAF model), where PFM and TIAF model are related to network structure dimension and network data flow dimension respectively, the Optimization algorithm not only calculates each cluster or sub-networks dimension in one round in order to decide which dimension is higher than the threshold and then makes changes, but also calculates data flow dimension in order to select a better route for data transmission. The methods of dimension calculation for network structure and data flow are simply fractal and multifractal. Simulation results show that the proposed method can more effectively lengthen the network lifetime and nodes working hours than the traditional methods.
机译:提出了一种基于网络分形尺寸计算的无线传感器网络的优化算法(LEA算法),旨在解决节点的能量限制及其不平衡能耗。与能耗的LEA算法相比,基于长距离依赖模型(PFM模型)和短程相关模型(TIAF模型),其中PFM和TIAF模型分别与网络结构维度和网络数据流维度相关,优化算法不仅在一轮中计算每个群集或子网维度,以便确定哪个维度高于阈值,然后进行更改,而且还计算数据流维度,以便为数据传输选择更好的路线。网络结构和数据流量的尺寸计算方法简单地是分形和多分形。仿真结果表明,所提出的方法可以更有效地延长多个方法的网络寿命和节点。

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