Deakin home > Deakin University Library > Deakin Research Online > Mobility modelling and trajectory prediction for cellular networks with mobile base stations

Mobility modelling and trajectory prediction for cellular networks with mobile base stations

Pathirana, Pubudu, Savkin, Andrey and Jha, Sanjay 2003, Mobility modelling and trajectory prediction for cellular networks with mobile base stations, in MobiHoc 2003 : proceedings of the Fourth ACM International Symposium on Mobile Ad Hoc Networking and Computing, ACM Press, New York, N.Y., pp. 213-221.

Attached Files (Some files may be inaccessible until you login with your Deakin Research Online credentials)
Name Description MIMEType Size Downloads

Title Mobility modelling and trajectory prediction for cellular networks with mobile base stations
Author(s) Pathirana, Pubudu
Savkin, Andrey
Jha, Sanjay
Conference name ACM International Symposium on Mobile Ad Hoc Networking and Computing (4th : 2003 : Annapolis, Md.)
Conference location Annapolis, Maryland, USA
Conference dates 1-3 June 2003
Title of proceedings MobiHoc 2003 : proceedings of the Fourth ACM International Symposium on Mobile Ad Hoc Networking and Computing
Editor(s) Strivastava, Mani
Publication date 2003
Start page 213
End page 221
Publisher ACM Press
Place of publication New York, N.Y.
Summary This paper provides mobility estimation and prediction for a variant of GSM network which resembles an adhoc wireless mobile network where base stations and users are both mobile. We propose using Robust Extended Kalman Filter (REKF)as a location heading altitude estimator of mobile user for next node (mobile-base station)in order to improve the connection reliability and bandwidth efficiency of the underlying system. Through analysis we demonstrate that our algorithm can successfully track the mobile users with less system complexity as it requires either one or two closest mobile-basestation measurements. Further, the technique is robust against system uncertainties due to inherent deterministic nature in the mobility model. Through simulation, we show the accuracy and simplicity in implementation of our prediction algorithm.
ISBN 1581136846
Language eng
Field of Research 100503 Computer Communications Networks
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2003, ACM
Persistent URL http://hdl.handle.net/10536/DRO/DU:30005221

Document type: Conference Paper
Collection: School of Engineering and Technology
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in Deakin Research Online is owned by the author, with all rights reserved.

Versions
Version Filter Type
Access Statistics: 390 Abstract Views, 0 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 09:46:57 EST