基于动态调整发送编码门限阈值的传感器网络数据压缩算法  

Data Compression Algorithm of Sensor Networks Based on Dynamic Adjustment of Threshold of Encoding Transmission

作　　者：陶姿邑[1] TAO Ziyi(Information Construction Management Office, Shaanxi University of Chinese Medicine, Xianyang 712046, Shaanxi Province, China)

机构地区：[1]陕西中医药大学信息化建设管理处,陕西咸阳712046

出　　处：《吉林大学学报（理学版）》2017年第4期947-951,共5页Journal of Jilin University:Science Edition

基　　金：陕西省自然科学基金(批准号:2013CDZ023)

摘　　要：针对无线传感器网络节点感知数据存在空间和时间冗余的问题,提出一种基于动态调整数据发送阈值的传感器网络数据压缩算法——DADST算法.首先,节点采集周围信息后发送给基站,基站接收到数据后对其进行Huffman编码,并依据节点发送的数据即时调节基站向各节点发送数据的门限阈值;其次,各节点依据接收到的编码判断向基站传输压缩码还是原始感知数据.仿真实验结果表明,该算法在保证数据传输精度的同时,能显著提高网络数据传输量和网络工作效率,减缓了节点的能量消耗.Aiming at the problem that the wireless sensor network node sensing data existed spatial redundancy and time redundancy,the author proposed data compression algorithm—DADST algorithm of sensor network based on the dynamic adjustment of data transmission threshold.Firstly,the node collected the surrounding information and sent it to the base station,after receiving the data,the base station carried out Huffman encoding and immediately adjusted the encoded threshold for sending data to each node according to the data sent by the node.Then,each node judged whether to transmit compression code or original sensing data to the base station according to the received encoding.Simulation results show that the proposed algorithm can ensure precision of the data transmission,at the same time,it can significantly improve the amount of network data transmission and network work efficiency,and slow down the energy consumption of nodes.

关 键 词：HUFFMAN编码 动态调整 阈值 数据压缩 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]