油气物联网高效能耗算法研究

Research on Efficient Energy Consumption Algorithm for Oil and Gas IoT

针对油气物联网中无效能量消耗和网络寿命短等问题,提出了一种新的数据筛选和融合算法。该算法通过分析数据与正常数据的偏离程度自适应地判断数据的异常程度,对数据进行簇内筛选和簇间融合,避免了网络信息的冗余以及能量的过度消耗。实验结果表明,与传统方案相比,该方案能有效改善油气物联网的通信质量和能耗效率。

A new data filtering and fusion algorithm are proposed for the problems of ineffective energy consumption and short network lifetime in oil and gas IoT(Internet of Things).This algorithm can adaptively judge the degree of data abnormality,filter and fusion data,avoiding redundant network information and excessive energy consumption.The algorithm adaptively determines the abnormality of the data by judging the deviation degree between the monitoring data and the normal data,performs intra-cluster filtering and inter-cluster fusion on the data.Compared with the traditional scheme,the proposed scheme can effectively improve the communication quality and energy consumption efficiency of oil and gas IoT.