Paper Info
Title
An Advanced RFID Localization Algorithm Based on Region Division and Error Compensation.
Abstract
In RSSI-based RFID(Radio Frequency IDentification) indoor localization system, the signal path loss model of each sub-region is different from others in the whole localization area due to the influence of the multi-path phenomenon and other environmental factors. Therefore, this paper divides the localization area into many sub-regions and constructs separately the signal path loss model of each sub-region. Then an improved LANDMARC method is proposed. Firstly, the deployment principle of RFID readers and tags is presented for constructing localization sub-region. Secondly, the virtual reference tags are introduced to create a virtual signal strength space with RFID readers and real reference tags in every sub-region. Lastly, k nearest neighbor (KNN) algorithm is used to locate the target object and an error compensating algorithm is proposed for correcting localization result. The results in real application show that the new method enhances the positioning accuracy to 18.2% and reduces the time cost to 30% of the original LANDMARC method without additional tags and readers.
Year
DOI
Venue
2013
10.3837/tiis.2013.04.004
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Keywords
Field
DocType
RFID,Indoor location,Region division,LANDMARC,Error Compensation
k-nearest neighbors algorithm,Software deployment,Computer science,Algorithm,Path loss,Signal strength,Localization system,Radio-frequency identification,RFID Localization
Journal
Volume
Issue
ISSN
7
4
1976-7277
Citations 
PageRank 
References 
1
0.37
2
Authors
5
Name
Order
Citations
PageRank
Junhuai Li13916.44
Guomou Zhang210.37
Lei Yu342.09
Wang Zhi-xiao43712.28
Jing Zhang58410.71