Abstract
This paper shows the development of a mobile application prototype that allows the identification of the average waiting times in a queuing system for different branch offices or points of care. This application gives a person the possibility to select the alternative that best suits him/her, showing the nearby points of care by average waiting times in each point. The validation of the operation of this prototype is carried out through the Flexsim queue simulator, through which random cases are generated from branch offices referenced from Google Maps. With this, it is possible to give a hierarchical order according to the shortest waiting time and indicating the location of these points of care on the map. In order to implement the application it is necessary to install sensors in the points of care, linked to an online database through IoT, so that this information can be visualized in the mobile application.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tan, L.: Future internet: the internet of things. In: 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE) (2010)
Lee, I.K.: The Internet of Things (IoT): applications, investments, and challenges for enterprises. Bus. Horiz. 58, 431–440 (2015)
Díaz, M., Martín, C., Rubio, B.: State-of-the-art, challenges, and open issues in the integration of Internet of Things and cloud computing. J. Netw. Comput. Appl. 67, 99–117 (2016)
Borgia, E.: The Internet of Thing vision: key features, applications and open issues. Comput. Commun. 54, 1–31 (2014)
Hallaj, M., Negi, A., Mohammadzadeh, N.: Principle application and vision in Internet of Things (IoT). In: International Conference on Computing, Communication and Automation (ICCCA 2015)
Al-Karaki, J., Chen, K., Morabito, G., De Oliveira, J.: From M2 M communications to the Internet of Things: opportunities and chanllenges. Ad Hoc Netw. 18, 1–2 (2014)
Miorandi, D., Sicari, S., De Pellegrini, F., Chlamtac, I.: Internet of things: vision, applications and research challenges. Ad Hoc Netw. 10, 1497–1516 (2012)
Coetzee, L., Eksteen, J.: The Internet of Things – promise for the future? an introduction. In: IST-Africa 2011 Conference Proceedings (2011)
Bradley, D., Russell Ferguson, I., Isaacs, J., MacLeod, A., White, R.: The Internet of Things – the future or the end of mechatronics. Mechatronics 27, 57–74 (2015)
Gnimpieba, D., Nait-Sidi-Moh, A., Durand, Fortin J.: Using Internet of Things technologies for a collaborative supply chain: Application to tracking of pallets and containers. Procedia Comput. Sci. 56, 550–557 (2015)
Taamallah, A., Khemaja, M.: Providing pervasive Learning eXperiences by Combining Internet of Things and e-Learning standards, Teoría de la Educación. Educ. Cult. Soc. Inf. 16(4), 98–117 (2015)
Quirolgico, S., Voas, J., Kuhn, R.: Vetting Mobile Apps, Institute of Standards and Technology. IEEE Computer Society (2011)
Serrano, N., Hernantes, J., Gallardo, G.: Mobile Web Apps, IEEE Software, September/October 2013
Phuc, N., Thanh, D.: Developing apps for mobile phones. In: 7th International Conference on Computing and Convergence Technology (ICCCT) (2012)
Alnawas, I., Aburub, F.: The effect of benefits generated from interacting with the branded mobiles apps on consumer satisfaction and purchase intentions. J. Retail. Consum. Serv. 31, 313–322 (2016)
Zydney, J., Warner, Z.: Mobile apps for science learning: review of research. Comput. Educ. 94, 1–17 (2016)
Helf, C., Hlavacs, H.: Apps for life change: critical review and solution directions. Entertain. Comput. 14, 17–22 (2016)
Harding, S., Kandlikar, M., Gulati, S.: Taxi apps, regulation, and the market for taxi journeys. Transp. Res. Part A 88, 15–25 (2016)
Fenu, G., Pau, P.: An analysis of features and tendencies in mobile banking apps. Procedia Comput. Sci. 56, 26–33 (2015)
Yang, K.K., Cayirli, T., Low, J.M.W.: Predicting the performance of queues-a data analytic approach. Comput. Oper. Res. 76, 33–42 (2016)
Woo Baek, J., Woo Lee, H., Ahn, S., Han, Bae Y.: Exact time-dependent solutions for the M/D/1 queue. Oper. Res. Lett. 44, 692–695 (2016)
Haviv, M., Oz, B.: Regulating and observable M/M/1 queue. Oper. Res. Lett. 44, 196–198 (2016)
Beutler, F.J.: Mean sojourn times in markov queueing networks: little’s formula revisited. IEE Trans. Inf. Theory 29(2), 233–241 (1983)
Author information
Authors and Affiliations
Corresponding authors
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer International Publishing AG
About this paper
Cite this paper
Sierra, P.S., Siculaba, J.B., Tarazona, G.M. (2017). Mobile Application for the Reduction of Waiting Times Through IoT (Prototype). In: Uden, L., Lu, W., Ting, IH. (eds) Knowledge Management in Organizations. KMO 2017. Communications in Computer and Information Science, vol 731. Springer, Cham. https://doi.org/10.1007/978-3-319-62698-7_42
Download citation
DOI: https://doi.org/10.1007/978-3-319-62698-7_42
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-62697-0
Online ISBN: 978-3-319-62698-7
eBook Packages: Computer ScienceComputer Science (R0)