Visible to the public Slot Assignment Algorithm Based on Hash Function for Multi-target RFID System

TitleSlot Assignment Algorithm Based on Hash Function for Multi-target RFID System
Publication TypeConference Paper
Year of Publication2018
AuthorsZhang, Suman, Qin, Cai, Wang, Chaowei, Wang, Weidong, Zhang, Yinghai
Conference Name2018 IEEE/CIC International Conference on Communications in China (ICCC)
Date Publishedaug
KeywordsALOHA algorithm, Anti-collision, anti-collision algorithms, compositionality, hash algorithms, Hash Function, Hash functions, Heuristic algorithms, Multitag identification technique, Multitarget RFID system, Multitarget tags assignment slots algorithm, object detection, pubcrawl, radiofrequency identification, resilience, Resiliency, simulation, slot assignment algorithm, Smart tags, Stability analysis, Tag group, Tag matching, tags collision, telecommunication congestion control, Throughput, Wireless sensor networks
Abstract

Multi-tag identification technique has been applied widely in the RFID system to increase flexibility of the system. However, it also brings serious tags collision issues, which demands the efficient anti-collision schemes. In this paper, we propose a Multi-target tags assignment slots algorithm based on Hash function (MTSH) for efficient multi-tag identification. The proposed algorithm can estimate the number of tags and dynamically adjust the frame length. Specifically, according to the number of tags, the proposed algorithm is composed of two cases. when the number of tags is small, a hash function is constructed to map the tags into corresponding slots. When the number of tags is large, the tags are grouped and randomly mapped into slots. During the tag identification, tags will be paired with a certain matching rate and then some tags will exit to improve the efficiency of the system. The simulation results indicate that the proposed algorithm outperforms the traditional anti-collision algorithms in terms of the system throughput, stability and identification efficiency.

URLhttps://ieeexplore.ieee.org/document/8641104/
DOI10.1109/ICCChina.2018.8641104
Citation Keyzhang_slot_2018