摘要
无线传感器网络的传感器节点能量十分有限,且数量巨大,因而传统的传感器管理方法不再适用于无线传感器网络。针对无线传感器网络提出了一个分层的传感器管理结构,将网络的传感器管理分为最高层-簇间传感器管理、中间层-簇内传感器管理和最低层-单个传感器管理,并在最低层对传感器节点实现了采样间隔的自适应,仿真结果表明在保证一定跟踪精度的条件下,大大节省了传感器节点的能量。
Due to the limited energy and the large number of the sensor nodes in Wireless Sensor Networks,the traditional sensor management approach is no longer available.This paper will propose a hierarchical architecture for Wireless Sensor Networks, the highest tier is the sensor management between the clusters,the middle tier is the sensor management in the cluster and the lowest tier is the resource management on single sensor.Finally,we have realized the adaptive sampling of sensor nodes on the low tier.The simulation results show that the adaptive sampling of nodes can save the energy obviously under a certain tracking precision.
出处
《计算机工程与应用》
CSCD
北大核心
2007年第32期111-113,206,共4页
Computer Engineering and Applications
基金
国家自然科学基金(No.60634030)
教育部新世纪优秀人才支持计划。~~
