摘要
提出了一种基于估计机制的分簇传感器网络数据融合算法。在满足数据精确度要求的前提下,只有当数据的当前值与上一次采集值之差超过某一变化阈值时,才将当前采集数据发送到簇头节点,否则不发送。采用节点剩余能量自适应的簇头选择算法来平衡传感器节点的能耗,使得剩余能量越大的节点当选为簇头的概率越大。推导了使网络能耗最小的最优分簇规模的计算公式。仿真实验表明,该算法与LEACH算法相比有效地延长了网络的生存期,与直接将采集数据发送给簇头相比具有明显的节省效果。
A data aggregation algorithm for clustering wireless sensor networks based on estimative scheme is presented.On the premise of guaranteeing the requirement of data precision,data collected by a cluster member node will be sent to its head node only when the difference between this data＇s present value and its previous value is larger than a threshold set beforehand.An adaptive cluster head selecting algorithm based on the residual energy of sensor nodes is introduced to balance the energy consumption among sensor nodes,in which the sensor node with more energy has a larger probability to be the cluster head.The formula to calculate the optimal cluster size at which the energy consumption of the whole network can be minimized is deduced.Simulation results indicate that this algorithm can prolong the lifetime of network compared with LEACH algorithm,and has a good energy saving performance compared with sending the collected data to the cluster head directly.
出处
《传感技术学报》
CAS
CSCD
北大核心
2011年第1期128-133,共6页
Chinese Journal of Sensors and Actuators
基金
第二炮兵工程学院创新人才工程科研启动项目资助(XY200915)
关键词
无线传感器网络
数据融合
估计机制
分簇路由
wireless sensor network
data aggregation
estimative scheme
cluster based route
