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Open AccessArticle

A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas

1
Department of Information and Communication Engineering, ChaoYang University of Technology, Taichung 413310, Taiwan
2
Department of Computer Science and Information Engineering, Chaoyang University of Technology, Taichung 413310, Taiwan
3
Department of Leisure Services Management, Chaoyang University of Technology, Taichung 413310, Taiwan
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(15), 4171; https://doi.org/10.3390/s20154171
Received: 2 June 2020 / Revised: 16 July 2020 / Accepted: 22 July 2020 / Published: 27 July 2020
Infectious diseases, such as COVID-19, SARS, MERS, etc., have seriously endangered human safety, economy, and education. During the spread of epidemics, restricting the range of activities of personnel is one of the options for the prevention and treatment of infectious diseases. A global navigation satellite system (GNSS), it can provide accurate coordinates of latitude and longitude to targets with GNSS receivers. However, it is not common to use GNSS coordinates to represent positions in social life. For epidemic management, it is important to know the locations (and addresses) of targets, especially in social life. When there are many targets, it is not easy to efficiently map these coordinates to locations. Therefore, we propose a GNSS-based crowd-sensing strategy for specific geographical areas that can be used to calculate how many targets are in specific geographical areas or whether a target is in a specific area. This strategy is based on the coordinates of latitude and longitude provided by GNSS to find the locations of these coordinates. As simulated data, the data records containing latitude and longitude in a well-known social networking service platform are used. The strategy is also available for mining hot spots or hot areas. View Full-Text
Keywords: epidemic management; GNSS/GPS; infectious disease; isolation; social networking service; hot spot epidemic management; GNSS/GPS; infectious disease; isolation; social networking service; hot spot
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MDPI and ACS Style

Lin, C.-B.; Hung, R.-W.; Hsu, C.-Y.; Chen, J.-S. A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas. Sensors 2020, 20, 4171. https://doi.org/10.3390/s20154171

AMA Style

Lin C-B, Hung R-W, Hsu C-Y, Chen J-S. A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas. Sensors. 2020; 20(15):4171. https://doi.org/10.3390/s20154171

Chicago/Turabian Style

Lin, Chuan-Bi; Hung, Ruo-Wei; Hsu, Chi-Yueh; Chen, Jong-Shin. 2020. "A GNSS-Based Crowd-Sensing Strategy for Specific Geographical Areas" Sensors 20, no. 15: 4171. https://doi.org/10.3390/s20154171

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