Abstract

We are moving towards ‘smart’ world in which industries, such as healthcare, smart cities, transportation, and agriculture have started using IoT (Internet of Things). These applications involve huge number of sensors and devices that generate high volume of real time data. To perform useful analytics on this data, location and spatial awareness characteristics of devices need to be considered. Wide range of location-based services and sensors in GIS have to manage moving objects that change their position with respect to time. These applications generate voluminous amount of real time geospatial data that demands an effective query processing mechanism to minimize the response time of a query. Indexing is one of the traditional ways to minimize the response time of a query by pruning the search space. In this paper, we performed a detailed survey of the literature regarding the indexing of real time geospatial data generated by IoT enabled devices. Some major challenges relevant to indexing of moving objects are highlighted. Various important index design considerations are also discussed. The goal is to help researchers in understanding the principles, methods, and challenges in the indexing of real time geospatial data. This will also aid in identifying the future research opportunities.

中文翻译：

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通过支持IoT的设备对实时地理空间数据进行索引：机遇，挑战和设计注意事项

摘要

我们正在迈向“智能”世界，在这个世界中，医疗保健，智慧城市，交通运输和农业等行业已开始使用物联网（IoT）。这些应用涉及大量产生大量实时数据的传感器和设备。为了对此数据执行有用的分析，需要考虑设备的位置和空间感知特性。GIS中广泛的基于位置的服务和传感器必须管理随时间变化其位置的移动对象。这些应用程序生成大量的实时地理空间数据，这些数据需要有效的查询处理机制以最小化查询的响应时间。索引是通过修剪搜索空间来最小化查询响应时间的传统方法之一。在本文中，我们对有关物联网设备生成的实时地理空间数据编制索引的文献进行了详细调查。着重介绍了与移动对象索引相关的一些主要挑战。还讨论了各种重要的索引设计注意事项。目的是帮助研究人员了解实时地理空间数据索引的原理，方法和挑战。这也将有助于确定未来的研究机会。实时地理空间数据索引中的挑战。这也将有助于确定未来的研究机会。实时地理空间数据索引中的挑战。这也将有助于确定未来的研究机会。