面向物联网的传感器实体搜索系统  

IoT-oriented sensor entity search system

作　　者：杨成龙[1] 李德识[1,2] 

机构地区：[1]武汉大学电子信息学院,湖北武汉430072 [2]武汉大学深圳研究院,广东深圳518000

出　　处：《计算机工程与设计》2015年第10期2823-2827,共5页Computer Engineering and Design

基　　金：深圳市科技研发基金项目(JCYJ20120616140147748)

摘　　要：为解决传统通用搜索引擎在检索物联网中传感器实体时效率低下及展示效果不佳等问题,设计并实现面向物联网的传感器实体搜索系统。采用多线程技术,遵循正则匹配法则,实现系统的信息采集;结合Lucene评分机制和传感器实体的地理位置属性,提出一种基于距离的传感器排序算法,实现信息的高效检索;在此基础上,分别利用Google Maps API和AJAX,实现检索结果的动态展示和数据的实时更新。实验结果表明,与传统通用搜索引擎相比,该系统具有较高的检索准确率和较好的用户体验。There are several shortages when searching a sensor entity by the traditional search engine.To overcome these problems,an IoT-oriented sensor entity search system was designed and implemented.By adopting the multithreading technique and following regular matching rules,the original information database was established.Combining Lucene scoring mechanism with the geographic location property that sensor entities were generally equipped with,a sorting algorithm based on the distances between sensors was proposed,which made the information retrieving of the system efficient.Moreover,the retrieved results were dynamically displayed on the Google map utilizing the Google Maps API,while the sensor data were updated in real time using the AJAX technique.The experimental results indicate that compared with the traditional search engine,the proposed system can not only improve the query accuracy,but also bring better user experience.

关 键 词：搜索引擎 物联网 传感器实体 排序算法 动态展示 

分 类 号：TP391.3[自动化与计算机技术—计算机应用技术]