A Scalable Method for Aggregating the Geospatial Network Coverage Data for In-Vehicle Applications

Anticipating future mobile network conditions that follow the vehicle's route optimizes the in-vehicle application's strategic performance and user experience. Spatial context-awareness enables this kind of anticipation by monitoring vehicle location and parameters of the mobile network co...

Full description

Saved in:
Bibliographic Details
Main Authors: Zecevic, Petar, Bodiroga, Nikolina, Stepanovic, Mia, Zivkov, Dusan
Format: Conference Proceeding
Language:English
Subjects:
big data
Cluster computing
coverage
Fluctuations
geospatial
invehicle application
mobile network
Predictive models
Quality of service
road network
Roads
spatial context awareness
Time series analysis
User experience
vehicle
Online Access:Request full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Anticipating future mobile network conditions that follow the vehicle's route optimizes the in-vehicle application's strategic performance and user experience. Spatial context-awareness enables this kind of anticipation by monitoring vehicle location and parameters of the mobile network coverage's quality on the vehicle's route. Parameters linked to a location define geospatial data points. This paper presents a scalable approach for implementing the method for making the network coverage map from the collected data points and gives an overview of the used map-making methods until now. Our method considers the coverage parameters' fluctuations based on different days and hours.
ISSN:2158-4001
DOI:10.1109/ICCE50685.2021.9427761