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 Name Description MIMEType Size Downloads Title Mobility modelling and trajectory prediction for cellular networks with mobile base stations Author(s) Pathirana, Pubudu orcid.org/0000-0001-8014-7798 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 Collections: Faculty of Science, Engineering and Built Environment School of Engineering and Technology Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Wed, 25 Feb 2009, 15:54:45 EST Fri, 18 Jun 2010, 09:46:45 EST Wed, 21 Oct 2015, 13:05:39 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 57 times in Scopus Search Google Scholar Access Statistics: 851 Abstract Views, 0 File Downloads  -  Detailed Statistics Created: Mon, 07 Jul 2008, 09:46:57 EST

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