摘要
针对无线传感器网络自身能量有限需要节能的问题,提出了网络的最优分簇规模算法;考虑到簇首的负担较重,提出要选择剩余能量较高的节点作为簇首.这样可以有效延长WSN的生命周期,提高WSN的使用效率.最后结合按测量方差的自适应加权数据融合算法对收集的数据进行融合,减少数据传输,进一步达到节能的作用.
Regarding to the situation that the wireless sensor networks have limited energy and require energy -saving ,an optimally scaled clustering algorithm for network have been proposed in this paper .Moreover taking the heavier burden of cluster heads into account ,the node that has higher residual energy is chosen as the cluster head , which can effectively extend the lifecycle and improve the efficiency of the use of WSN .Finally ,with the way of coordinating the adaptive weighing-estimation data aggregation algorithm measurement variance of to integrate the collected data ,reduce the data transmission ,further to achieve the effect of energy saving .
出处
《微电子学与计算机》
CSCD
北大核心
2013年第11期136-138,142,共4页
Microelectronics & Computer
基金
辽宁省教育厅科学科研基金项目(L2010167)
关键词
无线传感器网络
分簇算法
自适应加权
数据融合
wireless sensor network
clustering algorithm
weighing-estimation
data aggregation
