DocumentCode :
744007
Title :
LineKing: Coffee Shop Wait-Time Monitoring Using Smartphones
Author :
Bulut, Muhammed Fatih ; Demirbas, Murat ; Ferhatosmanoglu, Hakan
Author_Institution :
Dept. of Comput. Sci. & Eng., SUNY, Buffalo, NY, USA
Volume :
14
Issue :
10
fYear :
2015
Firstpage :
2045
Lastpage :
2058
Abstract :
This article describes LineKing, a crowdsensing system for monitoring and forecasting coffee shop line wait times. LineKing consists of a smartphone component that provides automatic and accurate wait-time detection, and a cloud backend that uses the collected data to provide accurate wait-time estimation. LineKing is used on a daily basis by hundreds of users to monitor the wait-times of a coffee shop in the University at Buffalo, SUNY. The novel wait-time estimation algorithms of LineKing deployed at the cloud backend provide median absolute errors of less than 3 minutes.
Keywords :
cloud computing; computerised monitoring; mobile computing; smart phones; LineKing; cloud backend; coffee shop line wait times; coffee shop wait-time monitoring; crowdsensing system; median absolute errors; smartphones; wait-time estimation algorithms; Estimation; IEEE 802.11 Standards; Mobile computing; Monitoring; Receivers; Smart phones; Wireless application protocol; Crowdsensing; Smartphone applications; Wait-time estimation; smartphone applications; wait-time estimation;
fLanguage :
English
Journal_Title :
Mobile Computing, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1233
Type :
jour
DOI :
10.1109/TMC.2014.2384032
Filename :
6991601
Link To Document :
بازگشت