An IoT Smart Queue Management System with Real-Time Queue Tracking

This paper proposes a smart queue management system for delivering real-time service request updates to clients' smartphones in the form of audio and visual feedback. The proposed system aims at reducing the dissatisfaction with services with medium to long waiting times. To this end, the system allows carriers of digital ticket to leave the waiting areas and return in time for their turn to receive service. The proposed system also improves the waiting experience of clients choosing to stay in the waiting area by connecting them to the audio signal of the often muted television sets running entertainment programs, advertisement of services, or news. The system is a web of things including connected units for registering and verifying tickets, units for capturing and streaming audio and queue management, and participating client units in the form of smartphone applications. We implemented the proposed system and verified its functionality and report on our findings and areas of improvements.

[1]  C. Steger,et al.  NFC-DynFS: A way to realize dynamic field strength scaling during communication , 2013, 2013 5th International Workshop on Near Field Communication (NFC).

[2]  Vladimir Marianov,et al.  The Queueing Maximal availability location problem: A model for the siting of emergency vehicles , 1996 .

[3]  Thomas Grechenig,et al.  Components for an interoperable NFC mobile payment ecosystem , 2013, 2013 5th International Workshop on Near Field Communication (NFC).

[4]  Armin Lehmann,et al.  WebRTC enabled multimedia conferencing and collaboration solution , 2014 .

[5]  Cengiz Togay WebRTC technology for mobile devices , 2014, 2014 22nd Signal Processing and Communications Applications Conference (SIU).

[6]  Thomas Sandholm,et al.  An On-Demand WebRTC and IoT Device Tunneling Service for Hospitals , 2014, 2014 International Conference on Future Internet of Things and Cloud.

[7]  Manohar U. Kalwani,et al.  The Impact of Waiting Time Guarantees on Customers' Waiting Experiences , 1997 .

[8]  Miguel Paris Diaz,et al.  Catalysing the success of WebRTC for the provision of advanced multimedia real-time communication services , 2013, 2013 17th International Conference on Intelligence in Next Generation Networks (ICIN).

[9]  Janelle Heineke,et al.  Understanding the Roles of the Customer and the Operation for Better Queue Management , 1994 .

[10]  Sergej Alekseev,et al.  Finite state machine based flow analysis for WebRTC applications , 2014, Fourth edition of the International Conference on the Innovative Computing Technology (INTECH 2014).

[11]  Steve Vinoski Server-Sent Events with Yaws , 2012, IEEE Internet Comput..

[12]  Micael S. Couceiro,et al.  Integrating Arduino-Based Educational Mobile Robots in ROS , 2013, 2013 13th International Conference on Autonomous Robot Systems.

[13]  Arun Smart Queue Management System Using GSM Technology , 2013 .

[14]  Qiang Li,et al.  QueueSense: Collaborative recognition of queuing on mobile phones , 2014, 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON).

[15]  G. Broll,et al.  Exploring multimodal feedback for an NFC-based mobile shopping assistant , 2013, 2013 5th International Workshop on Near Field Communication (NFC).

[16]  Yi-Bing Lin,et al.  Mobile ticket dispenser system with waiting time prediction , 2014, The 16th Asia-Pacific Network Operations and Management Symposium.

[17]  Jong Min Kim,et al.  Development of the investigation scheduling system using mobile phone utilization of the department of nuclear medicine , 2005, Proceedings of 7th International Workshop on Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005..