Teaching application development for RFID/ZigBee networks using open source hardware

Concepts related to Wireless Sensor Networks (WSN), Machine-to-Machine (M2M) and the Internet of Things (IoT) have recently gained significant attention in university education. According to this, the need for low-cost, modular, easy-to-use and scalable platform used for building various network systems in order to provide an environment for developing and testing software applications for WSN, IoT and related technologies is very high. This paper presents an approach in creating platform based on open source hardware designed to provide an infrastructure for teaching development of software applications for WSN, in this case applications for RFID/ZigBee networks, to be used in Computing education and profession.

[1]  Kenneth Knoblauch,et al.  An inexpensive Arduino-based LED stimulator system for vision research , 2012, Journal of Neuroscience Methods.

[2]  Emily Gertz,et al.  Environmental Monitoring with Arduino , 2012 .

[3]  André Knörig,et al.  Advanced prototyping with fritzing , 2010, TEI '10.

[4]  Nathan Sprague.  Arduino as a platform for a computer organization course , 2013 .

[5]  Klaus Finkenzeller,et al.  Rfid Handbook: Fundamentals and Applications in Contactless Smart Cards and Identification , 2003 .

[6]  Michael Margolis,et al.  Arduino Cookbook , 2011 .

[7]  Xian-Yi Chen,et al.  Research on Key Technology and Applications for Internet of Things , 2012 .

[8]  Jonathan Cohen,et al.  Fritzing: a tool for advancing electronic prototyping for designers , 2009, TEI.

[9]  Michael McRoberts.  Beginning Arduino , 2013, Apress.

[10]  Adrian McEwen,et al.  Designing the Internet of Things , 2013 .

[11]  Wen-Tsai Sung,et al.  Intelligent multi-sensor control system based on innovative technology integration via ZigBee and Wi-Fi networks , 2013, J. Netw. Comput. Appl..

[12]  Pilar Barreiro,et al.  Performance of ZigBee-Based wireless sensor nodes for real-time monitoring of fruit logistics , 2008 .

[13]  Tarek R. Sheltami,et al.  A Comparative Analysis of Flooding Time Synchronization Protocol and Recursive Time Synchronization Protocol , 2013, MoMM '13.

[14]  Rizalafande Che Ismail,et al.  Wireless Traffic Light Controller for Emergency Vehicle through XBee and Basic Stamp Microcontroller , 2012 .

[15]  Leonardo Franco,et al.  Smart sensor/actuator node reprogramming in changing environments using a neural network model , 2014, Eng. Appl. Artif. Intell..