基于JN5139的农田无线传感器网内数据融合研究

在无线传感器网络中,各个节点的存储能力、通信能力、计算能力及能源的供给都十分有限,因而运用网内数据融合算法消除冗余数据,减小数据传输量,从而达到节省功耗、延长节点生命周期、提高数据采集效率和准确度的目的。介绍了系统结构及主要模块JN5139,采用简单滑动平均法、指数平滑法及自回归滑动平均模型(ARMA),在分析大量WSN数据的基础上,利用时间序列对数据进行建模预测,提出了适合WSN的数据处理模型并用Mat Lab进行仿真,之后将程序烧写到节点中进行试验。试验表明:该方法在保证采集数据可靠性的前提下有效地减少了网络的耗能,延长了网络的生命周期。

In Network Data Fusion for Agricultural Information on Wireless Sensor Nodes Based on JN5139

In wireless sensor networks, the storage capacity of each node, communication capabilities, computing power and the supply of energy are very limited.By in network data fusion algorithm to eliminate redundant data, reduce the a-mount of data transferred,so as to achieve the purpose of saving power,prolong the life cycle of the nodes and improving the efficiency of data collection and accuracy.This paper describes the system structure and the main module JN 5139, u-sing a simple moving average,exponential smoothing and autoregressive moving average model ( ARMA).On the basis of analyzing large data of WSN, proposed data processing model which fit for WSN and to simulate with Matlab.Field exper-iments conducted after verifying the simulation model.Experiments show that under the premise of ensuring the correct-ness of the data,the method is effective in reducing the energy consumption of the network, thus extending the network li-fetime.