RNN查询在船联网移动环境下的缓存应用

The application of RNN query in the ship networking mobile environment

基于移动物联网的各类船用电子应用越来越广,应用采集数据类型及长度极速增加,如何保障数据挖掘实效性及准确性关系到各类应用的性能。数据查询是数据挖掘最基本的手段,传统的基于链式的查询方法已经越来越不适应船联网环境下的大数据并发查询。空间数据反向最邻查询(RNN)能够适应高纬度的数据挖掘,在网络路径较为复杂的移动互联网环境下有更好的性能。本文重点研究船联网移动RNN查询算法应用,最后进行仿真。

Based on the mobile Internet of things more and more widely used electronic applications, various types of data acquisition applications and the length of the speed increase, how to ensure the effectiveness and accuracy of data mining related to the performance of various applications. Data query is the most basic means of data mining, the traditional chain based query method has become more and more difficult to adapt to the large data query. Spatial data reverse nearest neighbor query can adapt to high latitude data mining, and has better performance in the mobile Internet environment with complex network path. In this paper, we focus on the research of the application of the mobile search algorithm of ship network.