ORBi: François Jean-Marc - AP and MN-centric Mobility Prediction: A Comparative Study Based On Wireless Traces

Reference : AP and MN-centric Mobility Prediction: A Comparative Study Based On Wireless Traces


	Document type :	Scientific congresses and symposiums : Paper published in a journal
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/2268/3355

Title :	AP and MN-centric Mobility Prediction: A Comparative Study Based On Wireless Traces
Language :	English
Author, co-author :	François, Jean-Marc [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques > >]
	Leduc, Guy [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques >]
Publication date :	May-2007
Journal title :	Lecture Notes in Computer Science
Publisher :	Springer
Volume :	4479
Pages :	322-332
On invitation :	No
Audience :	International
ISSN :	0302-9743
City :	Berlin
Country :	Germany
Event name :	IFIP Networking 2007
Event date :	14-18 May 2007
Event place (city) :	Atlanta
Event country :	USA
Keywords :	[en] Mobility prediction ; Wireless Networks
Abstract :	[en] The mobility prediction problem is defined as guessing a mobile node's next access point as it moves through a wireless network. Those predictions help take proactive measures in order to guarantee a given quality of service. Prediction agents can be divided into two main categories: agents related to a specific terminal (responsible for anticipating its own movements) and those related to an access point (which predict the next access point of all the mobiles connected through it). This paper aims at comparing those two schemes using real traces of a large WiFi network. Several observations are made, such as the difficulties encountered to get a reliable trace of mobiles motion, the unexpectedly small difference between both methods in terms of accuracy, and the inadequacy of commonly admitted hypotheses (such as the different motion behaviours between the week-end and the rest of the week).
Target :	Researchers
Permalink :	http://hdl.handle.net/2268/3355
DOI :	10.1007/978-3-540-72606-7_28

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