Modelling Offset Regions around Static and Mobile Locations on a Discrete Global Grid System
An IoT Case Study
Bibliographic Data
| ID | 22032458 |
|---|---|
| Authors | David Bowater (0009-0006-3950-8153, University of New Brunswick, corresponding author), Monica Wachowicz (0000-0002-4659-0101, University of New Brunswick) |
| Year | 2020 |
| Volume | 9 |
| Issue | 5 |
| Pages | 335 |
| Publication date | 2020-05-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi9050335 |
| OpenAlex | W3027467598 |
| Language | EN |
| Citations received | 3 |
| References cited | 17 |
With the huge volume of location-based point data being generated by Internet of Things (IoT) devices and subsequent rising interest from the Digital Earth community, a need has emerged for spatial operations that are compatible with Digital Earth frameworks, the foundation of which are Discrete Global Grid Systems (DGGSs). Offsetting is a fundamental spatial operation that allows us to determine the region within a given distance of an IoT device location, which is important for visualizing or querying nearby location-based data. Thus, in this paper, we present methods of modelling an offset region around the point location of an IoT device (both static and mobile) that is quantized into a cell of a DGGS. Notably, these methods illustrate how the underlying indexing structure of a DGGS can be utilized to determine the cells in an offset region at different spatial resolutions. For a static IoT device location, we describe a single resolution approach as well as a multiresolution approach that allows us to efficiently determine the cells in an offset region at finer (or coarser) resolutions. For mobile IoT device locations, we describe methods to efficiently determine the cells in successive offset regions at fine and coarse resolutions. Lastly, we present a variety of results that demonstrate the effectiveness of the proposed methods
Data mining · Digital Earth · Distributed computing · Embedded system · Geodesy · Geography · Global Positioning System · Grid · Internet of Things · Mobile device · Real-time computing · Remote sensing · Telecommunications · UTC offset · 3D Modeling in Geospatial Applications · Computer Science · Data Management and Algorithms · Robotics and Sensor-Based Localization
| Citations per year | 0.5 |
|---|---|
| Citation span | 2020 - 2021 (2) |
| Highly cited | No |