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Journal Article MAQ Geo-Fencing Algorithm-Based LCBS for Enhanced Emergency Alerting in Legacy RAN
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Authors
Sang-Lim Ju, Hyunjoo Kang, Seung-Hee Oh
Issue Date
2024-06
Citation
IEEE Transactions on Vehicular Technology, v.73, no.6, pp.8110-8124
ISSN
0018-9545
Publisher
Institute of Electrical and Electronics Engineers
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1109/TVT.2024.3350116
Abstract
The cell broadcast service (CBS) is an effective broadcasting technology commonly used for emergency alerting. Herein, we address the challenges of geo-fencing and language-independent content in CBS using the minimum area quadrilateral (MAQ) geo-fencing algorithm. The proposed algorithm effectively simplifies irregular polygons into MAQs to reduce the number of segments in cell broadcast data and enhance the efficiency of location-based CBS. Evaluation on two datasets shows that the MAQ expands the warning area by approximately 1.675 and 1.34 times compared with that of raw polygons. The results highlight the potential of the algorithm for application in optimizing emergency alert dissemination. Our novel approach to warning area coordinate formatting can aid in conveying crucial information to a broader audience, regardless of language proficiency. These findings open new avenues for developing streamlined and inclusive emergency alerting systems.
KSP Keywords
Alerting system, Broadcast service, Geo-fencing, Irregular polygons, Language-Independent, Location Based, Novel approach, emergency alert