摘要
针对传感器节点采集的数据具有时空相关性的特点,提出了一种基于数据相关的无线传感器网络分簇算法(CACD)。在CACD算法中,首先根据各个节点采集到的数据的相关性,将数据相同或相近的节点划分到一块相同的区域中。在簇形成阶段,令同一个簇的成员都来自同一个区域,并使每个区域最终只有一个簇首与基站通信。在簇内通信阶段,连续相同的数据只传输一次。算法大大减少了冗余数据的传输,从而延长了网络的生命周期。
Considering the spatio-temporal correlation of sensed data,the clustering algorithm based on correlation of sensed data for wireless sensor network is proposed.According to the correlation of sensed data in CACD algorithm,sensor nodes with the same or similar data are divided into the same region.In cluster construction stage,the member nodes of a cluster come from the same region.There is only one cluster head communicating with base station in each region.In the intra-cluster communication,the continuously same data is transmitted only once.Because this algorithm takes account of reducing redundant data during transmission,it can prolong the lifetime of the whole network.
出处
《计算机工程与应用》
CSCD
北大核心
2011年第5期92-95,122,共5页
Computer Engineering and Applications
关键词
无线传感器网络
簇
时空相关性
冗余数据
wireless sensor network
cluster
spatio-temporal correlation
redundant data
