A hybrid method for achieving high accuracy and efficiency in object tracking using passive RFID

Lei Yang, Jiannong Cao, Weiping Zhu, Shaojie Tang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

29 Citations (Scopus)

Abstract

Passive RFID tags have been widely utilized for object tracking in indoor environment due to their low cost and convenience for deployment. The RFID readings gathered from real world are often noisy. Existing approaches for tracking objects with noisy RFID readings are mostly based on using Particle Filter (PF). However, continuous execution of particle filter will suffer from high computational cost on resource constrained RFID-enabled devices. In this paper, we propose a hybrid method for tracking mobile objects with high accuracy and low computational cost. This is achieved by an adaptively switching between using WCL (Weighted Centroid Localization) and PF according to the estimated velocity of the moving object. We have evaluated the performance of our hybrid method through extensive simulations. We have also validated the performance results by implementing the method in two applications, namely, indoor wheelchair navigation and in-station LRV (Light Rail Vehicle) tracking in one of the Hong Kong MTR depots. The result shows that our proposed method outperforms both WCL and PF in either accuracy or computational cost.
Original languageEnglish
Title of host publication2012 IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
Pages109-115
Number of pages7
DOIs
Publication statusPublished - 4 Jun 2012
Event10th IEEE International Conference on Pervasive Computing and Communications, PerCom 2012 - Lugano, Switzerland
Duration: 19 Mar 201223 Mar 2012

Conference

Conference10th IEEE International Conference on Pervasive Computing and Communications, PerCom 2012
CountrySwitzerland
CityLugano
Period19/03/1223/03/12

Keywords

  • localization
  • particle filter
  • Radio Frequency Identification(RFID)
  • Weighted Centroid Localization(WCL)

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this