Improved binaryanity-collision algorithm for RFID

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Authors:

Changwang Liu, Nanyang Normal University, Nanyang, China

Chao Yin, Jiujiang University, Jiujiang, China

Yihua Lan, Nanyang Normal University, Nanyang, China

Abstract:

Purpose. Internet of Things (IoT) represents the future direction of the development of computer and communication technology, which is considered to be the third wave of development in the field of information industry after the computer. IoT is the implementation of a network of goods real-time information system based on Frequency Identification (RFID) and Electronic Product Code Radio (EPC). In the process, all kinds of existing technology will face many new opportunities and challenges, especially RFID.

Methodology. There are two kinds of problems in the research of the problem of label collision at home and abroad. One is binary anti-collision algorithm based on the tree, another isanti-collision algorithm based on time slot ALOHA. But ALOHA algorithm is rapidly deteriorated so that it is not suitable for large-scale application in the IoT.

Findings. In the binary tree anti-collision algorithm, the mature algorithms are the binary tree anti-collision algorithm based on pruning branches (pruning branches algorithm) and similar binary anti-collision algorithm (similar algorithm).

Originality. We have developed a new anti-collision algorithm called improved anti-collision algorithm (IAC), which is able to reduce the number of data in each time slot, the number of times and searches.

Practical value. Test results show that the IAC algorithm can improve the performance comparing to traditional pruning branches algorithm and similar algorithm. At the same time, IAC algorithm can reduce the search time very much.

Список літератури / References

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