摘要
提出了基于域和树能量有效的数据收集方法,该方法基于采样数据之间的相关性差异构建域,根据域内节点之间的数据相关性融合采样数据,并调节节点的数据发送速率,然后基于节点的剩余能量和节点间的距离构建数据汇聚树.仿真结果表明,所提出的数据收集方法比现有的数据收集方法能耗更小,且分布更均衡,延长了网络寿命.
An energy-efficient data gathering protocol based on zones and tree is proposed. The correlated zones are constructed based on the correlation difference among the sensing data. The data inside each correlated zone is aggregated and its transmission rate is adjusted. Then a data gathering tree is built based on nodes＇ residual energy and distance in betweens. Simulations show that the proposed protocol outperforms existing data gathering protocols in terms of energy consumption and network lifetime.
出处
《北京邮电大学学报》
EI
CAS
CSCD
北大核心
2011年第5期110-114,共5页
Journal of Beijing University of Posts and Telecommunications
基金
国家自然科学基金项目(61070190,61003264)
浙江省重大科技专项重点国际合作项目(2009C14033)
浙江省自然科学基金项目(Z1100455)
浙江省综合信息网技术重点实验室开放课题
关键词
数据收集
时空相关性
汇聚树
无线传感器网络
data gathering
spatial-temporal correlation
gathering tree
wireless sensor network
