摘要
为了兼顾提高数据采集精度与效率的同时有效降低传感器节点能耗,提出了一种基于自适应加权与LZW的层次式数据融合算法。传感器簇头节点对传感器节点发送的数据进行自适应加权处理,估计出均方误差最小时的值,簇头节点将处理后的数据采用LZW算法以一定的信息量压缩后再进行数据的传输。仿真表明,该层次式融合算法提高了数据采集的精度并有效降低了网络的能耗,延长了无线传感器网络的生命周期。
A hierarchical data aggregation algorithm is proposed which based on the adaptive weighted and LZW to improve the accuracy of data collection,enhance the efficiency of data collection and reduce the energy consumption of the sensor nodes.Data sent by sensor nodes is processed by cluster head sensor by using the adaptive weighted to estimate the value when the mean square error is Minimum.And then the cluster head node compresses the processed data using LZW algorithm with a certain amount of information before data transmission.Simulation results show that the hierarchical aggregation algorithm improves the accuracy of data collection,reduces the energy consumption of network effectively and extends the life cycle of wireless sensor networks.
出处
《传感技术学报》
CAS
CSCD
北大核心
2011年第8期1193-1196,共4页
Chinese Journal of Sensors and Actuators
基金
国家基金"污染物液体扩散机理研究"(50979036)
