基于分流优化选择的无线传感网数据传输算法

Data transmission algorithm of wireless sensor network based on stream optimization selection

提出基于分流优化选择机制的无线传感网数据稳定传输算法。通过计算区域内簇头节点与各个簇内节点的自感阈值,根据该阈值进行簇头节点的更换并维持簇结构的稳定,根据当前网络传输带宽状况,以及下一跳簇头节点的能量消耗水平对传输数据流进行分割,定义最优传输函数,对分割后的数据子流进行优化传输,改善节点的能耗水平,实现数据的稳定与高效传输。仿真结果表明,与自动平衡适应算法(CHDA)和节点流平衡选择算法(GCPS)相比,所提算法具有更低的网络节点能耗开支,以及更高的数据分组投递率与网络稳定运行时间。

The data transmission algorithm of WSN based on stream optimization selection mechanism was proposed in this paper.First through the calculation of the self inductance threshold of cluster-heads and cluster member nodes in the region and according to the threshold to replace and maintain the stability of the cluster structure,then according to the current network transmission bandwidth and next hop cluster head nodes energy consumption on the transmission of data stream for segmentation,and through the transfer function of the optimal segmentation of data flow,to optimize the transfer and to greatly improve the level of energy consumption in nodes,then to realize the stable and efficient data transmission.Simulation results show that compared to the automatic balancing adaptation algorithm（CHDA）and node flow balance selection algorithm（GCP）,the algorithm in this paper has lower network node energy consumption,and higher packet delivery rate and better network operating stability.