Presentation 2007-04-23
Mobility Model based on Incoming and Outgoing Nodes to an Area
Satoshi AIHARA, Masahiro SASABE, Hirotaka NAKANO,
PDF Download Page PDF download Page Link
Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this paper, we propose a mobility model which estimates a node distribution in a service area from node flows on the boundary of the area. Our model targets new wireless communication techniques, such as Bluetooth and ZigBee, whose transmission ranges, called cells, are relatively small. The proposed model reproduces the mobility of nodes in an area by the observation of the incoming and outgoing nodes to the area. At first, we focus on a person as a node and observe an area where people actually pass through. From the observation results, we show that a node moves along with an approximately straight line with a velocity following a normal distribution. Furthermore, we propose two methods that estimate correspondences between incoming and outgoing events to the area; combinatorial optimization based method (COM) and Bayesian estimation based method (BEM). As a result, the reproduction ratio of COM is 0.736, and that of BEM is 1.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) mobility model / node distribution / incoming and outgoing nodes to an area / combinatorial optimization / Bayesian estimation
Paper # CQ2007-4
Date of Issue

Conference Information
Committee CQ
Conference Date 2007/4/16(1days)
Place (in Japanese) (See Japanese page)
Place (in English)
Topics (in Japanese) (See Japanese page)
Topics (in English)
Chair
Vice Chair
Secretary
Assistant

Paper Information
Registration To Communication Quality (CQ)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Mobility Model based on Incoming and Outgoing Nodes to an Area
Sub Title (in English)
Keyword(1) mobility model
Keyword(2) node distribution
Keyword(3) incoming and outgoing nodes to an area
Keyword(4) combinatorial optimization
Keyword(5) Bayesian estimation
1st Author's Name Satoshi AIHARA
1st Author's Affiliation Graduate School of Information Science and Technology, Osaka University()
2nd Author's Name Masahiro SASABE
2nd Author's Affiliation Cybermedia Center, Osaka University
3rd Author's Name Hirotaka NAKANO
3rd Author's Affiliation Cybermedia Center, Osaka University
Date 2007-04-23
Paper # CQ2007-4
Volume (vol) vol.107
Number (no) 19
Page pp.pp.-
#Pages 6
Date of Issue