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


  • 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.


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


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.


Dijkstra, E. 1959. A Note On Two Problems In Connexion With Graphs. Numerische Mathematik 1: 269-271.

Alghamdi, S., van Schyndel, R. and Alahmadi, A. 2013. Indoor navigational aid using RFID and QR-code for sighted and blind people. IEEE 8th International Conference on Intelligent Sensor, Sensor Networks and Information Processing. 18-22.

Ali, A. M. and Nordin, M. J. 2009. Indoor Navigation To Support The Blind Person Using Weighted Topological Map. International

Conference on Electrical Engineering and Informatics (ICEEI’09). 68-72.

Chumkamon, S., Tuvaphanthaphiphat, P. and Keeratiwintakorn, P. 2008. A Blind Navigation System Using RFID For Indoor Environments. 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTICON 2008), 2: 765-768.

Ganz, A., Gandhi, S, R., Wilson, C. and Mullett, G. 2010. INSIGHT: RFID and Bluetooth Enabled Automated Space for the Blind and Visually Impaired. Annual International Conference of the IEEE on Engineering in Medicine and Biology Society (EMBC). 331-334.

RFID.[Online].From: (2).pdf. [Accessed 12 August 2015].

Eelke, F. 2012. Navatar: Navigating Blind Users in Indoor Spaces using Tactile Landmarks. Player Game Interaction Research University of Nevada, Reno.

Snae Namahoot, C. and Brückner, M. 2015. SPEARS: Smart Phone Emergency and Accident Reporting System Using Social Network Service and Dijkstra’s Algorithm on Android, Mobile and Wireless Technology, Lecture Notes in Electrical Engineering. 310: 173-182.

Jia, H., Jiang, T. and Zhao, F. 2012. Research On Route Recommendation For Indoor Multi-Travel Destinations. IEEE World Automation Congress. 1-4.




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