论文部分内容阅读
基于二维泊松点过程、泰森多边形等随机几何学原理,提出了一种求解最佳簇数的计算方法.将网络节点的随机部署与分布抽象为二维泊松点过程,分析计算了该分簇结构网络的特征参数,然后以最小化网络能耗、延长网络寿命为目标,分别提出了求解单跳和多跳无线传感器网络(WSN)最佳簇数的计算方法,通过数值分析的方法计算求得了最佳的簇数值.网络仿真实验表明:当网络分簇的个数为最佳簇数时全网络的能耗达到最低;相比传统的分簇算法,基于最佳簇数的分簇算法有着更长的网络生存时间.
Based on the principle of stochastic geometry such as two-dimensional Poisson point process and Tyson polygons, a method for calculating the optimal number of clusters is proposed. The random deployment and distribution of network nodes are abstracted as two-dimensional Poisson point processes, This paper proposes a method to calculate the optimal number of clusters in single-hop and multi-hop wireless sensor networks (WSNs) by minimizing the network energy consumption and prolonging the lifetime of the network. The best cluster value is calculated by the method.The network simulation results show that when the number of network clusters is the best, the energy consumption of the whole network is the lowest. Compared with the traditional clustering algorithm, Clustering algorithm has a longer network lifetime.