CAJ | 학술논문

针对传感器网络中节点采样数据的空间和时间冗余特点以及节能要求,该文提出了一种基于一元线性回归模型的空时数据压缩算法ODLRST.ODLRST先在每个节点内进行消除时间冗余的数据压缩,再在节点汇集处对来自不同节点的数据消除空间冗余以进一步压缩数据.仿真实验证明,ODLRST能够极大地减少节点发送的数据量和网络中的通信流量,节省并平衡网络中的能量消耗.
침대전감기망락중절점채양수거적공간화시간용여특점이급절능요구,해문제출료일충기우일원선성회귀모형적공시수거압축산법ODLRST.ODLRST선재매개절점내진행소제시간용여적수거압축,재재절점회집처대래자불동절점적수거소제공간용여이진일보압축수거.방진실험증명,ODLRST능구겁대지감소절점발송적수거량화망락중적통신류량,절성병평형망락중적능량소모.
Considering spatial and temporal redundancy of data and demand of saving energy in Wireless Sensor Networks (WSN), a One-Dimensional Linear Regression model based Spatial and Temporal(ODLRST) data compression algorithm, is proposed. By eliminating temporal redundancy of data in single node and spatial redundancy of data among nodes respectively in WSN, ODLRST greatly compresses these data. Simulation results show that ODLRST can reduce data size sent by nodes and network traffic in WSN, and save and balance energy consumption in the network.