An improved frame-slot ALOHA anti-collision algorithm

Shuo Feng*, Fei Gao, Yanming Xue, Heng Li

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to further improve identification efficiency of tag anti-collision algorithm in RFID system, we analyze the performance of the frame-slot ALOHA anti-collision algorithm, apply the idea of grouping in binary search algorithm to frame-slot ALOHA anti-collision algorithm, and on this basis, we propose an improved anti-collision algorithm to identify the collided tags in time slots quickly and correctly. The simulation results show that, the improved algorithm does improve the anti-collision performance, reduce the throughput of data, and improve the tag identification efficiency in RFID system.

Original languageEnglish
Title of host publication2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010
Pages337-340
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010 - Shenzhen, China
Duration: 17 Apr 201018 Apr 2010

Publication series

Name2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010
Volume1

Conference

Conference2010 International Conference on E-Health Networking, Digital Ecosystems and Technologies, EDT 2010
Country/TerritoryChina
CityShenzhen
Period17/04/1018/04/10

Keywords

  • Binary search
  • Frame-slot ALOHA
  • RFID

Fingerprint

Dive into the research topics of 'An improved frame-slot ALOHA anti-collision algorithm'. Together they form a unique fingerprint.

Cite this