基于带状无线传感器网络的实时智能数据收集算法  

Real-Time Intelligent Data Collection Algorithm Based on Banded Wireless Sensor Networks

作　　者：张叶娥 ZHANG Ye’e(College of Computer and Network Engineering,Shanxi Datong University,Datong 037009,Shanxi Province,China)

机构地区：[1]山西大同大学计算机与网络工程学院,山西大同037009

出　　处：《吉林大学学报（理学版）》2023年第2期393-399,共7页Journal of Jilin University:Science Edition

基　　金：山西省自然科学基金(批准号:201801D121117);山西大同大学2019年度科研基金(批准号:2019K14).

摘　　要：为减少在带状无线传感器网络下数据传输延时,提出一种基于数据压缩和线路调度的实时智能数据收集算法.首先通过对采集数据进行变换训练评估数据相关性,确定分割编码最长尺度,以此重编码实现冗余信息压缩;然后计算数据收集占用的最大时间槽长度,调度网络收集链路,最小化时延;最后通过多路径传输机制构建传输能耗模型,利用Lagrange函数算法求解,完成数据收集.仿真实验结果表明,该算法网络负载均衡,数据收集传输时延较小,能量消耗小,鲁棒性较好.In order to reduce the delay of data transmission in banded wireless sensor networks,the author proposed a real-time intelligent data collection algorithm based on data compression and line scheduling.Firstly,through the transformation training of the collected data,the correlation of the data was evaluated,and the longest scale of segmentation coding was determined,so that the redundant information was compressed by recoding.Secondly,the author calculated the maximum time slot length occupied by data collection,scheduled network collection links,and minimized time delay.Finally,the transmission energy consumption model was built by multi-path transmission mechanism,and solved by Lagrange function algorithm to complete data collection.The simulation results show that the proposed algorithm has the advantages of network load balancing,small data collection transmission delay,low energy consumption and good robustness.

关 键 词：带状无线传感网络 Lagrange函数算法 实时数据收集 链路调度 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] TN915[自动化与计算机技术—计算机科学与技术]