Design and Analysis of a Novel Time- and Energy-Efficient $M$ -Ary Tree Protocol With Collision Window for Dense RFID Systems
Author(s) -
Linh T. Hoang,
Anh T. Pham,
Chuyen T. Nguyen
Publication year - 2018
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2018.2874679
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
This paper proposes a novel time- and energy-efficient identification protocol for dense radio frequency identification (RFID) systems. The protocol is designed based on a conventional $M$ -ary collision tree, where tags involving a collision are classified into other $M$ subtrees. We additionally incorporate a newly designed transmission mechanism, by which each tag only responds to the reader by a small number of bits for a collision detection. The mechanism relies on a collision window supported by tag cardinality estimation, and the Manchester encoding, which is widely used for RFID systems. Thanks to the mechanism, the number of bits transmitted by tags can be significantly reduced, which improves the overall system performance in terms of both time and energy consumption. Theoretical analysis and computer simulation are performed to validate the correctness of the mechanism. The obtained results are compared with those of conventional protocols, which confirm the effectiveness of the proposed protocol.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom