基于中继节点机制的分簇数据融合算法

Clustering data fusion algorithm based on relay node mechanism

针对分簇的无线传感网中存在的簇首选择机制不合理以及在簇发送数据过程中因能耗不均衡而导致网络生命周期短的问题,提出基于中继节点机制的分簇数据融合算法.算法在不同分簇内根据数据信任值和能量信任值选择簇首,并在每个单独簇内选择一个中继节点,簇首收集簇成员的数据并融合,随之发送至中继节点;中继节点代替簇首与基站进行数据通信等工作,簇首在每轮的能量消耗会明显减少.对比传统的LEACH算法进行仿真实验,结果表明:采用此算法的无线传感器网络的生命周期有效延长了16%,并在一定程序上均衡了能耗.

Wireless Sensor Network based on clustering of cluster head selection mechanism is not reasona- ble, and the uneven energy consumption be cause of the networks~ short life cycle.So we put forward the Cluste- ring Data Fusion algorithm based on Relay Node Mechanism. Cluster head are selected based on the trust value and energy trust data in different points within the cluster algorithm, and in each individual cluster choose a relay node. Cluster head to collect data and integration of cluster members, then sent it to the relay node. Data communi- cation and other work with the base station not cluster head nodes but relay node, in each round of cluster head energy consumption will be significantly reduced. Compared to traditional LEACH algorithm simulation experi- ment, the result shows that this algorithm is effective to extend the life cycle of wireless sensor network by 16%, and balancing the energy consumption in a certain procedure.