摘要:
无线传感器网络(Wireless sensor networks, WSNs)节点能量有限, 能量高效的数据管理和延长网络寿命是该领域的技术难题. 在以簇构建的传感器网络中, 利用节点的计算和分析功能, 提出了基于数据关联性的簇内数据管理算法. 簇头利用误差函数和模糊函数分析成员感知数据的关联性, 获取节点感知数据综合支持度, 由此将成员节点划分为冲突节点、补充节点和可靠节点, 对不同类别节点采用不同的调度规则以便降低簇内能耗和尽可能实现簇间节点能耗均衡, 并给出了簇头数据融合的处理方法. 仿真结果表明算法能够实现簇内数据分类管理, 并能有效降低簇内数据收发量和延长网络寿命.
Abstract:
The nodes of wireless sensor networks (WSNs) are extremely power constrained, so energy-efficient data management and prolonging the networks lifetime are the major challenges in this researching area. With node calculation and analysis function, a cluster data management algorithm based on data correlation is presented for the network formed with clusters. Cluster head analyzes its member data correlation using error function and fuzzy function, and gains the integrative supportabilities of its members$'$ sensing data. Based on the integrative supportabilities, the members of the cluster are classified as conflict nodes, complementary nodes and reliable nodes, and the related nodes scheduling rules for the different types are given to reduce the energy consumption of the cluster and balance the energy consumption among members, and the data fusion mechanism of the cluster head is given. The simulation results demonstrate that the presented algorithm can realize the cluster data classification management, reduce the amount of the data transmission, and prolong the network lifetime.
下载:
