Efficient Object Identification with Passive RFID Tags
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Novel Anti-collision Algorithms for Fast Object Identification in RFID System
ICPADS '05 Proceedings of the 11th International Conference on Parallel and Distributed Systems - Workshops - Volume 02
An Enhanced Dynamic Framed Slotted ALOHA Algorithm for RFID Tag Identification
MOBIQUITOUS '05 Proceedings of the The Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services
Adaptive splitting protocols for RFID tag collision arbitration
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Adaptive binary splitting: a RFID tag collision arbitration protocol for tag identification
Mobile Networks and Applications
Collision avoidance in a dense RFID network
WiNTECH '06 Proceedings of the 1st international workshop on Wireless network testbeds, experimental evaluation & characterization
Hybrid Tag Anti-collision Algorithms in RFID Systems
ICCS '07 Proceedings of the 7th international conference on Computational Science, Part IV: ICCS 2007
Comptia Rfid+ Certification
THE ALOHA SYSTEM: another alternative for computer communications
AFIPS '70 (Fall) Proceedings of the November 17-19, 1970, fall joint computer conference
GPC'07 Proceedings of the 2nd international conference on Advances in grid and pervasive computing
Performance analysis of tag anti-collision algorithms for RFID systems
EUC'06 Proceedings of the 2006 international conference on Emerging Directions in Embedded and Ubiquitous Computing
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Radio Frequency Identification (RFID) technology uses radio-frequency waves to automatically identify people or objects. Despite an emergence of RFID technology, multiple tag identification, where a reader identifies a multiple number of tags in a very short time, is still a major problem. This is known as Collision problem and can be solved by using anti-collision scheme. The current tree-based anti-collision approach suffers from long identification delay, while the ALOHA-Based approach suffers from tag starvation problem due to inaccurate Frame-size. In this paper, we propose a "Precise Tag Estimation Scheme" for a Dynamic Framed-Slot ALOHA (DFSA), which estimates precise number of tags around the reader. In this empirical study, we compare our approaches with the original tag estimation in DFSA. The results indicate that the various parameters used by "Precise Tag Estimation Scheme", including empty slots variables and/or collision slots variables, have an impact on system efficiency. Thus, the number of frames and slots used by DFSA can be minimised by adjusting correct variables.