摘要
由于无线传感器网络具有传输通信量和传感器电源能量有限的特点,高效的数据融合节能策略成为现在无线传感网络研究热门技术之一。对于塔山矿井平台监控的复杂环境,应用无线传感器网络技术来采集矿井巷道内的数据并将数据发送给汇聚节点。而汇聚节点的数据处理方式是延长网络生命周期重要一环,为了提高汇聚节点数据传输的准确性和高效性,本文研究采用了一种高效的无线传感器网络数据融合算法。基于模糊贴近度原理,结合相对复合权重的概念,提出了基于模糊贴近度的数据融合算法。实验通过对比测温数据的平均值与模糊贴近度融合后的温度值相比较,误差较小,且误差数据偏离的越大,使用该算法的效果更优于普通的算数平均法。
Because wireless sensor networks have the characteristics of limited transmission traffic and limited sensor power, efficient data fusion energy-saving strategies have become one of the hot technologies in wireless sensor networks. For the complex environment monitored by the Tashan mine platform, wireless sensor network technology is applied to collect data in the mine roadway and send the data to the aggregation node. The data processing method of the aggregation node is to extend the important life cycle of the network. In order to improve the accuracy and efficiency of the data transmission of the aggregation node, this paper studies an efficient wireless sensor network data fusion algorithm. Based on the principle of fuzzy closeness, combined with the concept of relative composite weight, a data fusion algorithm based on fuzzy closeness is proposed.The experiment compares the average value of the temperature measurement data with the temperature value after fuzzy closeness fusion, the error is smaller, and the deviation of the error data is larger, the effect of using this algorithm is better than the ordinary arithmetic average method.
作者
雷丽婷
蒋常升
陈振棠
周成才
Lei Liting;Jiang Changsheng;Chen Zhentang;Zhou Chengcai
出处
《时代汽车》
2023年第2期22-25,共4页
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关键词
煤矿安全
无线传感网络
多传感器
数据融合
模糊贴近度
相对复合权重
coal mine safety
wireless sensor network
Multi-sensor
data fusion
fuzzy closeness
Relative Compound Weight
