Self Trajectory Estimation for wireless mobile networks

Al-Hattab, MK; Agbinya, JI

Self Trajectory Estimation for wireless mobile networks

Al-Hattab, MK Agbinya, JI

Permalink

Publisher:: IEEE computer society Conference publishing Services (CPS)
Publication Type:: Conference Proceeding
Citation:: Selected Papers on the 4th International Conference on Broadband Communication, Information Technology & Biomedical Applications, BroadBandCom '09, 2009, pp. 71 - 75
Issue Date:: 2009-01

Closed Access

	Filename	Description	Size
	2009002051OK.pdf		239.37 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
dc.contributor.author	Al-Hattab, MK	en_US
dc.contributor.author	Agbinya, JI	en_US
dc.contributor.editor	Janiczek, T	en_US
dc.contributor.editor	Klempous, R	en_US
dc.contributor.editor	Nikodem, J	en_US
dc.contributor.editor	ski, RJZ	en_US
dc.contributor.editor	Agbinya, J	en_US
dc.contributor.editor	Braun, R	en_US
dc.contributor.editor	Chaczko, Z	en_US
dc.date	2009-07-15	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	Selected Papers on the 4th International Conference on Broadband Communication, Information Technology & Biomedical Applications, BroadBandCom '09, 2009, pp. 71 - 75	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11962
dc.description.abstract	Frequent topology changes and multiple links disconnections in wireless mobile nodes impose the existence of a prediction technique to predict these changes, and then predict the future topology of the network. This paper proposes a predictive model called Self Trajectory Estimation; it is based on the regularity of behavior of nodes mobility. Each mobile node estimates its future locations based on modeling its own path as a function of location and time using curve fitting. The efficiency of the proposed model has been evaluated by MATLAB simulation.	en_US
dc.publisher	IEEE computer society Conference publishing Services (CPS)	en_US
dc.relation.ispartof	Selected Papers on the 4th International Conference on Broadband Communication, Information Technology & Biomedical Applications, BroadBandCom '09	en_US
dc.relation.ispartof	International Conference of Broadband Communication, Information Technology and Biomedical Applications	en_US
dc.rights	© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Self Trajectory Estimation for wireless mobile networks	en_US
dc.type	Conference Proceeding
utslib.location	Wroclaw, Poland	en_US
utslib.location.activity	Wroclaw, Poland	en_US
utslib.for	1005 Communications Technologies	en_US
dc.location.activity	Wroclaw, Poland	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Wroclaw, Poland	en_US
pubs.start-date	2009-07-15	en_US

Abstract:

Frequent topology changes and multiple links disconnections in wireless mobile nodes impose the existence of a prediction technique to predict these changes, and then predict the future topology of the network. This paper proposes a predictive model called Self Trajectory Estimation; it is based on the regularity of behavior of nodes mobility. Each mobile node estimates its future locations based on modeling its own path as a function of location and time using curve fitting. The efficiency of the proposed model has been evaluated by MATLAB simulation.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/11962