Tuyển tập các báo cáo nghiên cứu về hóa học được đăng trên tạp chí sinh học đề tài : Adaptive collision resolution for efficient RFID tag identification | Chen et al. EURASIP Journal on Wireless Communications and Networking 2011 2011 139 EURASIP Journal on . http content 2011 1 139 Wireless Communications and Networking a SpringerOpen Journal RESEARCH Open Access Adaptive collision resolution for efficient RFID tag identification Yung-Chun Chen1 Kuo-Hui Yeh2 NaiWei Lo1 Yingjiu Li3 and Enrico Winata1 Abstract In large-scale RFID systems all of the communications between readers and tags are via a shared wireless channel. When a reader intends to collect all IDs from numerous existing tags a tag identification process is invoked by the reader to collect the tags IDs. This phenomenon results in tag-to-reader signal collisions which may suppress the system performance greatly. To solve this problem we design an efficient tag identification protocol in which a significant gain is obtained in terms of both identification delay and communication overhead. A k-ary tree-based abstract is adopted in our proposed tag identification protocol as underlying architecture for collision resolution. Instead of just recognizing whether tag collision happens at each interrogation time period the reader can further obtain the reason of why the collision occurs in the current tag inquiry operation. With this valuable information we can reduce tag signal collisions significantly and at the same time avoid all of the tag idle scenarios during a tag identification session. The rigorous performance analysis and evaluation show that our proposed tag identification protocol outperforms existing tree-based schemes. Keywords anti-collision RFID tag identification 1. Introduction As rapid advances in semiconductor technology have enabled the production of low-cost tags usually in a range of five to ten cents the Radio Frequency IDentification RFID technique is promptly adopted to replace traditional bar-code-based identification mechanism in many daily life applications such as inventory tracking library book managing and
