NDLI: Biased Splitting Methods of an Index Structure Based on R*-Tree for Tracing RFID Tag Locations

Content Provider	IEEE Xplore Digital Library
Author	Kim, Gihong Hong, Bonghee
Copyright Year	2010
Abstract	In RFID systems, it is important to track and trace locations of tags attached to physical object in many applications such as automated manufacturing, inventory tracking and supply chain management. Queries for tracing tag locations are among the most challenging requirements in RFID based applications. For efficient query processing, trajectories of tags can be modelled and indexed as a line in a three-dimensional domain, with the axes being the tag identifier, the reader identifier, and the time. In a different way of a moving object index, the ranges of coordinates for each domain are quite different so that the distribution of query regions is biased. Since this biased distribution of query regions produces many overlaps with index nodes, many node accesses are occurred at answering queries. To reduce unnecessary overlaps, the splitting scheme of an index should be changed. Previous indexes for tag trajectories, however, do not consider the biased distribution of query regions. To solve this problem, we propose a new biased splitting method based on R*-tree. For efficient insertion of tag trajectories, our method derives the weighted margin for each node by using weights of each axis and margin of nodes. With the weighted margin, we can choose the subtree which has the minimum cost for inserting trajectories and splitting nodes. Proposed splitting method reduces the cost of region query by reducing overlapped area of query region and MBRs. We also evaluate the performance of our method and compare it with the previous methods. Our experiments show that the index based on the proposed splitting method considerably improves the performance of queries than the index based on the previous methods.
Starting Page	1
Ending Page	6
File Size	950369
Page Count	6
File Format	PDF
ISBN	9781424488131
ISSN	19760035
e-ISBN	9781424488124
DOI	10.1109/ICUT.2010.5677861
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Regions Trajectory Object recognition Radiofrequency identification Indexing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in