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Distributed cluster collaboration strategy for object association and identification in large areas

  • Hoseo University

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

Abstract

This paper presents a collaborative strategy of the distributed RFID sensor clusters for object association and identification. The process that converts the group associations to the single associations is also described. The basic association mechanism utilizes two homographic regions that model the RFID fluctuations. The sources of potential generation of false associations are discussed and the techniques for eliminating them with sensor collaboration are presented. The problem with the information inconsistency and its temporal propagation in the large-scale is described, and the mechanism for detecting and correcting such an inconsistency is proposed. The association performance of the proposed strategy is simulated with various parameters.

Original languageEnglish
Title of host publicationAdvanced Multimedia and Ubiquitous Engineering - FutureTech and MUE
EditorsHai Jin, Young-Sik Jeong, Muhammad Khurram Khan, James J. Park
PublisherSpringer Verlag
Pages141-150
Number of pages10
ISBN (Print)9789811015359
DOIs
StatePublished - 2016
Event11th International Conference on Future Information Technology, FutureTech 2016 - Beijing, China
Duration: Apr 20 2016Apr 22 2016

Publication series

NameLecture Notes in Electrical Engineering
Volume393
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference11th International Conference on Future Information Technology, FutureTech 2016
Country/TerritoryChina
CityBeijing
Period04/20/1604/22/16

Keywords

  • Collaborative processing
  • Heterogeneous sensor networks
  • Object association
  • Surveillance systems

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