1) data gathering tree
数据聚集树
1.
ATSP divided the entire network into some clusters,the protocol constructed a data gathering tree in each cluster.
整个网络由一些较小单位的簇组成,在每个簇内构造一棵数据聚集树,根据数据聚集树对节点每轮需要发送的数据流量进行加权,决定该节点的时隙大小;然后由簇头动态调节簇内节点时隙更新频率和顺序,可以降低时隙划分的能量和时间代价,减少节点的空闲侦听时间,避免串音。
2) aggregated data
聚集数据
1.
For the generalized linear model with aggregated data:Y=Xβ+u,Eu=0,Var(u)=σ2∑,this paper is built two kinds of biased estimators: ridge estimator β(k)and improved ridge estimator β(k)which are discussed some superiority to the estimators in the sense of mean square error.
对于聚集数据的广义线性模型:Y=Xβ+u,Eu=0,Var(u)=σ2∑,提出了二种有偏估计:岭估计β(k)与改进岭估计β(k)。
2.
For the linear model with aggregated data,In this paper,we proposed definition of the Generalized Ridge Estimators and the Improved Generalized Ridge Estimators of the parameters and two kinds of relative efficiencies of the estimators,in rate of popularize Eucliden standard a sense and in rate of weighted Euclidean standard a sense.
对于聚集数据的线性模型,给出了参数的广义岭估计及改进的广义岭估计的定义,并提出了广义岭估计及改进的广义岭估计在推广的欧氏模之比意义下及加权欧氏模之比意义下的二种相对效率。
3.
In this paper,we study the usual biased estimate problems of the linear model with aggregated data,we proposed a relative efficiency of biased estimators in rate of euclidean standard a sense,and also a relative efficiency of biased estimator in rate of weighted euclidean standard a sense.
本文研究聚集数据的线性模型参数的有偏估计问题,在欧氏模之比意义下给出了参数的有偏估计的一个相对效率,并在加权欧氏模之比意义下给出了参数的有偏估计的一个相对效率,并得到了这两种相对效率的上界。
3) data aggregation
数据聚集
1.
Research on Energy-Efficient Data Aggregation Protocols in Wireless Sensor Networks;
无线传感器网络中节能的数据聚集协议的研究
2.
This paper solves the problem of delivering data with different real-time constraints and proposes a data aggregation protocol called Differentiated Application Independent Data Aggregation (DAIDA) to aggregate network units according to their priorities.
由于大部分无线传感器网络中节点的能源是不可补充的,因此需使用数据聚集协议提高整个网络的生命周期。
3.
In this paper,based-on attribute-cluster,a new spatio-temporal data aggregation query algorithm is proposed.
提出了基于属性簇的时空数据聚集查询算法。
4) data collection tree
数据收集树
1.
A data collection tree based data collection protocol was proposed.
现有的数据收集协议的性能不是很好,为此提出了一种基于数据收集树的数据收集协议。
5) data aggregation tree
数据聚合树
6) Cluster-correlated data
聚集性数据
补充资料：聚集经济（聚集利益）（聚集效应）
n聚集经济（聚集利益）（聚集效应）是指由于某工业部 n门向某特定地域集中新产生的供生产成本降低的效果。因为分工协作，扩大生 产规模，节约使用基础设施等会降低生产成本。 n
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条