基于非线性反正切函数的WSNs高效数据融合方案  

Efficiency Scheme of Data Aggregation Based on Nonlinear Arc-Tangent Function for WSNs

作　　者：梁芳[1] 陈亮[2] 沈济南[3] 郑明辉[3] 李劲[3] 

机构地区：[1]湖北民族学院,理学院,湖北恩施445000 [2]国家计算机网络应急技术处理协调中心,北京100029 [3]湖北民族学院,信息工程学院,湖北恩施445000

出　　处：《武汉大学学报（理学版）》2015年第6期531-536,共6页Journal of Wuhan University:Natural Science Edition

基　　金：国家自然科学基金资助项目(61262078,61362012);湖北省高等学校优秀中青年科技创新团队计划(T201512);湖北省自然科学基金资助项目(2014CFB614);湖北省民委重点项目(HBMW-C20)

摘　　要：高效的数据融合节能策略是延长无线传感器网络生命周期的关键技术之一.为有效节省网络节点能耗提升网络性能,给出一种基于非线性反正切函数的无线传感器网络高效数据融合算法.该算法首先根据数据传输流量变化确定一个均值中心时刻点,然后通过采用非均匀采样的方法进行采样,距离中心点越近的时刻,采样点越多,数据融合率越低;距离中心点越远的时刻,采样点越少,数据融合率越高.仿真和性能分析结果表明该算法具有较好数据融合性能,具有易于实现和灵活高效的特点,可适用于实际的无线传感器网络环境中.Due to the limitation of communication bandwidth and computing resource in nodes of wireless sensor networks,the efficiency data aggregation strategy of energy saving became one of the most hot technologies in wireless sensor networks.An efficiency data aggregation algorithm for wireless sensor networks is proposed by analyzing the data flow density in a certain period which the network is going to make the operation of data collection.The data which is effective or have a large amplitude changes mainly concentrated in the relative time,and the sampling point required is more intensive.On the contrary,the data which is random or have a small amplitude changes is relatively dispersed,and the sampling point required is comparatively sparse.And then an effective center point of time is determined according to the data flow density in a certain time for data collection.The distance between the center point and the transmission time is closer,and the data aggregation rate is higher.Conversely,the distance is farther,the data aggregation rate is lower.Simulation and performance analysis results demonstrate that the novel algorithm has a high efficiency of data aggregation to save the nodes energy effectively and prolong the lifetime of network significantly.

关 键 词：无线传感器网络 数据融合 非线性 反正切函数 高效 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]