International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 179 - Issue 43 |
Published: May 2018 |
Authors: Prachi Singh, Manav Jain, Lakshya Rawal, Preeti Nagrath |
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Prachi Singh, Manav Jain, Lakshya Rawal, Preeti Nagrath . iBeacon-based Indoor Positioning Systems for Airports. International Journal of Computer Applications. 179, 43 (May 2018), 52-55. DOI=10.5120/ijca2018917058
@article{ 10.5120/ijca2018917058, author = { Prachi Singh,Manav Jain,Lakshya Rawal,Preeti Nagrath }, title = { iBeacon-based Indoor Positioning Systems for Airports }, journal = { International Journal of Computer Applications }, year = { 2018 }, volume = { 179 }, number = { 43 }, pages = { 52-55 }, doi = { 10.5120/ijca2018917058 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A Prachi Singh %A Manav Jain %A Lakshya Rawal %A Preeti Nagrath %T iBeacon-based Indoor Positioning Systems for Airports%T %J International Journal of Computer Applications %V 179 %N 43 %P 52-55 %R 10.5120/ijca2018917058 %I Foundation of Computer Science (FCS), NY, USA
To help travelers find their gate or luggage file is a pressing issue for airports. This article introduces an iBeacon based indoor airport positioning system. It first analyzes the advantages of iBeacon over traditional indoor positioning technologies; and then designs the airport indoor positioning system based on the three-tier Internet of Things architecture to provide courier service to customers. Finally, the shortest distance algorithm, Floyd, is used to recommend passengers the next boarding or baggage handling process. Experience has shown that indoor airspace positioning for airports can be achieved through the system.