摘要
为解决无线传感网(WSN)数据汇聚过程中存在的路径筛选困难、高链路抖动概率和汇聚带宽较低等问题,提出了一种基于延时树分割汇聚机制的WSN数据汇聚算法。首先,采用收敛方式设计汇聚子树,以增强簇头节点在汇聚簇内数据时的链路递归效率,提高数据采集质量;然后,采用遍历模式设计基于分割机制的延时树递归构建方法,通过收敛方式提高叶子节点裁决的质量,有效降低汇聚子树的高度,从而达到降低网络传输时延并优化簇头节点数据传输带宽的目的。最后,优先选取高度最低的路径作为传输路径,以增强传输路径搜寻效率,提高算法对复杂环境的适应性能。仿真实验结果表明,与当前常用的基于超宽带集中管控机制的物联网数据传输算法(DT-UWCC算法)和基于功率损耗均衡化控制机制的移动无线传感网数据传输算法(DT-PLEC算法)相比,该算法数据汇聚带宽较高,网络链路控制性能较好,具有显著的实际部署价值。
In order to solve the problems of path selection,high link jitter probability and low convergence band width in the data aggregation process of wireless sensor networks,a WSN data aggregation algorithm based on delay tree segmentation and aggregation mechanism is proposed.Firstly,the convergence subtree is designed to enhance the link recursion efficiency and improve the quality of data collection.Then,the recursive construction method of delay tree based on segmentation mechanism is designed by using ergodic mode,which can improve the decision quality of leaf node and effectively reduce the height of convergence subtree,so as to reduce the network transmission delay and optimize the data transmission bandwidth of cluster head node.Finally,the path with the lowest height is selected as the transmission path,which enhances the efficiency of transmission path search and improves the adaptability of the algorithm to complex environment.The simulation results show that compared with the commonly used data transmission algorithm of Internet of things based on ultra wideband centralized control mechanism(DT-UWCC algorithm)and the data transmission algorithm of mobile wireless sensor network based on power loss equalization control mechanism algorithm of mobile wireless sensor network based on Power Loss Equality control mechanism(DT-PLEC algorithm),the algorithm in this paper has higher data convergence bandwidth,better network link control performance,and significant practical deployment value.
作者
唐振
TANG Zhen(School of Mechanical and Electrical Engineering,Anhui Hydropower Vocational Technical College,Hefei 231603,China)
出处
《重庆科技学院学报（自然科学版）》
CAS
2020年第4期91-95,共5页
Journal of Chongqing University of Science and Technology：Natural Sciences Edition
基金
安徽省自然科学基金项目“图像识别技术在工业机器人智能抓取中的应用研究”(KJ2019A1014)。
关键词
无线传感网
延时树
分割汇聚
簇头节点
汇聚子树
传输路径
wireless sensor network
delay tree
segmentation aggregation
cluster head node
aggregation subtree
transmission path
