Abstract
In the past decade, much research focused on how to identify static tags efficiently in RFID systems. How to identify the mobile tag, therefore, has not received enough attention. However, many mobile tag applications have been realized in our daily life. One instance of these applications occurs when a passenger holds a RFID ticket to pass a gate and then enters a station in the Taipei MRT system. It is necessary to further explore how to identify mobile tags effectively. Differing from existing mobile tag identification methods, which are tree-based methods, we proposed an ALOHA-based mobile tag anticollision method – Enhanced dynamic framed slotted ALOHA for mobile tags (MT-EDFSA) – to identify mobile tags. We compared the performance of MT-EDFSA with those of the other methods – MT-DFSA and DFSA – in terms of throughput and identification time. The results show that MTEDFSA has the highest throughput and the shortest identification time between MT-EDFSA and the other two methods.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
