关于网络数据传感器节能优化仿真

Energy Saving Optimization Simulation of Network Data Sensor

网络数据传感器节能优化能够提高无线传感器网络内各节点的能量均衡程度,增加节点能量利用率,延长网络生命周期。现有数据传感器节能优化方法在节点分簇、簇头选取,以及路由选择等方面存在明显缺陷,使得能量均衡效果不佳,为此,提出了基于动态簇头竞争机制的网络数据传感器节能优化方法。方法执行过程分为节点分簇与数据融合两个阶段,第一阶段充分考虑影响能量均衡的多种因素,引入竞争时间竞选得到簇头,并根据距离将簇头以外的其余节点归属到相应簇中,完成对网络节点的不均等分簇,均衡网络节点的能量消耗;第二阶段利用剩余能量及到汇聚中心的距离,建立出最小生成树结构,得到最佳的数据传输路线,并据此对簇头节点的数据传输功率进行调节,同时引导簇头节点采取单跳或者多跳传输,以此达到节省能量的目的。通过仿真,证明了提出的节能优化方法显著提高了传感器网络能量均衡度,有效避免了能量空洞现象的出现,延长了网络使用寿命。

Energy efficiency optimization of network data sensor can improve the energy balance of each node in wireless sensor network, and increase the energy efficiency of the node and extend the network life cycle. The existing methods for data sensor energy saving optimization have the defects in clustering, node cluster selecting, and cluster head choosing,In this paper, an energy saving optimization method for network data sensor is proposed based on dynamic cluster head competition mechanism. The method execution is divided into two stages： node clustering and data fusion. The first stage fully considerd the various factors that affect the energy balance. The competition time mechanism is introduced to get cluster heads. According to the distance, the nodes other than the cluster head belong to the corresponding cluster, the unequal clustering of network nodes was completed, energy consumption of network nodes was balanced. The second stage used the residual energy and the distance to the sink center, the minimum spanning tree structure was established, to get the best data transmission line. The data transmission power of cluster head node was adjusted accordingly. At the same time, the cluster head node can be used for single hop or multi-hop transmission to save energy. Through the simulation experiment, the proposed energy optimization method was proved to significantly improve the energy balance of the sensor network, which effectively avoids the appearance of energy cavitation and extends the service life of the network.