对无线传感器网络中敏感数据传输效率进行优化,可以有效提高网络应用价值.对敏感数据传输效率的优化,需要先改变敏感数据分布状态,并将数据分流到多个簇头,完成对数据传输效率的优化的控制,实现数据传输效率的优化.传统方法先计算出传感器节点传输数据的能耗,进而获取单位时间内各个环带接收的信息量,但忽略了对数据的分簇分流过程,导致控制效果不理想.提出基于随机几何的无线传感器网络中敏感数据传输效率优化方法.利用随机几何模型对敏感数据分布的采集过程进行建模,得到敏感数据分布空间泊松点过程,将位于数据集样本密集区且相距较远的数据对象作为初始聚类中心,利用控制机制改变敏感数据分布状态,将数据分流到多个簇头,以此为依据完成对敏感数据传输效率优化.实验结果表明,选用方法精度较高,大幅度提升了无线传感器网络的数据传输效率.%An optimization method of transmission efficiency of sensitive data in wireless sensor network is proposed based on stochastic geometry.Firstly,the modeling to gathering process of sensitive data distribution is carried out by using stochastic geometric model,and Poisson point process of distribution space of sensitive data is got.Secondly,the data object locating sample compact district and far apart of data set is taken as initial clustering center,and control mechanism is used to change distribution of sensitive data.Finally,the data are distributed to multiple cluster heads,and the optimization for transmission efficiency of sensitive data is accomplished.Simulation results show that the proposed method has high accuracy.It can promote data transmission efficiency of wireless sensor network sharply.
展开▼
