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Tempcache: A Database Optimization Algorithm for Real-Time Data Handling in Indoor Spatial Environments

机译：Tempcache：室内空间环境中实时数据处理的数据库优化算法

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The unstable arrangement of modern indoor environments has made navigation within buildings a difficult task. Hence, this paper introduces the AccessBIM framework, which is an efficient real-time indoor navigation system that facilitates in generating a real-time indoor map by crowdsourcing spatial data through the sensors available in mobile devices of navigators. The framework is equipped with a database optimization algorithm known as “Tempcache” which reduces the time and cost of searching data by examining the AccessBIM database for previously navigated paths, thus enabling faster data retrieval through efficient query processing. A simulation of a virtual environment similar to an actual indoor environment was used to test the algorithm. The significance of the algorithm was validated by comparing the total map generation time before and after the algorithm was applied for which the results demonstrated a reduction in map generation time with the use of the algorithm. The framework is also capable of capturing localization information with the support of i-Beacons which is then stored in a cloud server.
机译：现代室内环境的不稳定布置使建筑物内的导航成为一项艰巨的任务。因此，本文介绍了AccessBIM框架，它是一种有效的实时室内导航系统，可通过导航器移动设备中可用的传感器将空间数据众包，从而有助于生成实时室内地图。该框架配备了称为“ Tempcache”的数据库优化算法，该算法可通过检查AccessBIM数据库中先前导航的路径来减少搜索数据的时间和成本，从而通过有效的查询处理实现更快的数据检索。使用类似于实际室内环境的虚拟环境模拟来测试该算法。通过比较应用该算法前后的总地图生成时间来验证算法的重要性，其结果表明使用该算法可以减少地图生成时间。该框架还能够在i-Beacon的支持下捕获本地化信息，然后将其存储在云服务器中。

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