loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Chiu-Kuo Liang and Yuan-Cheng Chien

Affiliation: Chung Hua University, Taiwan

Keyword(s): Tag Anti-Collision, Hybrid Query Tree, Pre-Detection Query Tree.

Related Ontology Subjects/Areas/Topics: Data Communication Networking ; Enterprise Information Systems ; Internet of Things ; Sensor Networks ; Software Agents and Internet Computing ; Software and Architectures ; Telecommunications ; Ubiquitous Computing ; Wireless Information Networks

Abstract: One of the research areas in RFID systems is a tag anti-collision protocol; how to reduce identification time with a given number of tags in the field of an RFID reader. There are two types of tag anti-collision protocols for RFID systems: tree based algorithms and slotted aloha based algorithms. Many anti-collision algorithms have been proposed in recent years, especially in tree based protocols. However, there still have challenges on enhancing the system throughput and stability due to the underlying technologies had faced different limitation in system performance when network density is high. Particularly, the tree based protocols had faced the long identification delay. Recently, a Hybrid Hyper Query Tree (H2QT) protocol, which is a tree based approach, was proposed and aiming to speedup tag identification in large scale RFID systems. The main idea of H2QT is to track the tag response and try to predict the distribution of tag IDs in order to reduce collisions. In this paper, w e propose a pre-detection tree based algorithm, called the Adaptive Pre-Detection Based Query Tree algorithm (APDBQT), to avoid those unnecessary queries. Our proposed APDBQT protocol can reduce not only the collisions but the idle cycles as well by using pre-detection mechanism. The simulation results show that our proposed technique provides superior performance in high density environments. It is shown that the APDBQT is effective in terms of increasing system throughput and minimizing identification delay. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.236.147.122

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Liang, C. and Chien, Y. (2015). An Adaptive Pre-detection Based RFID Tag Anti-collision Scheme. In Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-086-4; ISSN 2184-4380, SciTePress, pages 69-76. DOI: 10.5220/0005268800690076

@conference{sensornets15,
author={Chiu{-}Kuo Liang. and Yuan{-}Cheng Chien.},
title={An Adaptive Pre-detection Based RFID Tag Anti-collision Scheme},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS},
year={2015},
pages={69-76},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005268800690076},
isbn={978-989-758-086-4},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS
TI - An Adaptive Pre-detection Based RFID Tag Anti-collision Scheme
SN - 978-989-758-086-4
IS - 2184-4380
AU - Liang, C.
AU - Chien, Y.
PY - 2015
SP - 69
EP - 76
DO - 10.5220/0005268800690076
PB - SciTePress