Paper Info
Title
QLP-LBS: quantization and location prediction-based LBS for reduction of location update costs
Abstract
This paper proposes the QLP-LBS (Quantization and Location Prediction-based LBS). This QLP-LBS system is based on quantization theory and uses statistical location prediction mechanism. This LBS applies the quantum range of quantization theory to each mobile user and reduces location update costs by comparing results between moving distance of mobile user and quantum range. But, this LBS system generates location errors from the quantization. In order to solve this problem, we apply statistical location prediction mechanism to LBS system. This prediction mechanism predicts location of mobile user using its historical path and decrease location errors by quantization and makes more reliable LBS system. For performance evaluation, this paper measures location accuracy and reduction rate of location update costs with various quantum ranges. This experiments show that QLP-LBS effectively reduces location update costs of LBS system. Also, QLP-LBS solves problem of location errors using location prediction mechanism which is problem of general quantized system. Therefore, QLP-LBS is solution for reduction of location update costs and has reliable location accuracy.
Year
DOI
Venue
2007
10.1007/978-3-540-74767-3_8
ISPA Workshops
Keywords
Field
DocType
location prediction mechanism,mobile user,decrease location error,location update cost,reliable location accuracy,paper measures location accuracy,lbs system,statistical location prediction mechanism,location error,quantization theory
Quantum,Data mining,Computer science,Mobility model,Quantization (physics),Quantization (signal processing),Location prediction,Pound (mass)
Conference
Volume
ISSN
ISBN
4743
0302-9743
3-540-74766-4
Citations 
PageRank 
References 
1
0.39
5
Authors
3
Name
Order
Citations
PageRank
In Kee Kim1316.95
Sung-ho Jang2317.19
Jong Sik Lee37418.95