Shopping Navigation Assistance System on Android Using RFID Applications and Dijkstra's Algorithm

Authors

  • Chakkrit Snae Namahoot Department of Computer Science and Information Technology, Faculty of Science, Naresuan University, Thailand.
  • Michael Brückner Department of Educational Technology and Communication, Faculty of Education, Naresuan University, Thailand.

Keywords:

Route Guidance System, Mobile Computing, Android Operating System, Smart Phone, RFID Applications, Information Technology, Data Warehouse, Algorithm,

Abstract

This research aims at developing a model of indoor route guidance with RFID technology to identify users (customers) and product locations by using a mall as a prototype for a Data Warehouse. The researchers have designed a set of RFID devices, which store and read product locations and also communicate with applications. The route guidance system was developed in the form of applications on Android operating system, where users can search for desired products. The system then guides the customer using Web Server transmission. The system gets a product list from the customer and displays the path, which guides the user to the locations of selected products. Results from the application tests of the RFID technology for navigation on Android within a local mall showed that the system can display the selected items and recommended routes to the various points correctly. However, this is only a prototype. For realistic operation, it needs better performance by modifying the set of RFID devices to improve the speed and distance of reading and transmission of data.

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Published

2017-06-01

How to Cite

Snae Namahoot, C., & Brückner, M. (2017). Shopping Navigation Assistance System on Android Using RFID Applications and Dijkstra’s Algorithm. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(2-3), 67–71. Retrieved from https://jtec.utem.edu.my/jtec/article/view/2275