Indexing of real time geospatial data by IoT enabled devices: Opportunities, challenges and design considerations

Natalia Chaudhry, Muhammad Murtaza Yousaf, Muhammad Taimoor Khan
2020 Journal of Ambient Intelligence and Smart Environments  
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
more » ... ir 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. .pk. vices, car navigation systems, and autonomous vehicles must be equipped with location intelligence to function properly. For example, in order for smartphones to correctly predict the directions they must have to embed spatial awareness within them. Wide range of IoT based applications have to manage spatial objects that change their position with respect to time. Examples of such objects include oil tankers, cars, and air planes. These objects are used in number of GPS and location based applications including crowd tracking, robot path planning, and traffic monitoring. Utilization of such spatiotemporal data plays an important role in addressing many societal issues. Majority of applications in the domain of transportation, military, agriculture, and business acquire massive amount of spatiotemporal data from sensors
doi:10.3233/ais-200565 fatcat:guzi2qgf4balhcvjnhlcnqjuru