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AP and MN-centric Mobility Prediction: A Comparative Study Based On Wireless Traces
François, Jean-Marc; Leduc, Guy
2007In Lecture Notes in Computer Science, 4479, p. 322-332
Peer reviewed
 

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Keywords :
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).
Disciplines :
Computer science
Author, co-author :
François, Jean-Marc;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques
Leduc, Guy ;  Université de Liège - ULiège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Réseaux informatiques
Language :
English
Title :
AP and MN-centric Mobility Prediction: A Comparative Study Based On Wireless Traces
Publication date :
May 2007
Event name :
IFIP Networking 2007
Event place :
Atlanta, United States
Event date :
14-18 May 2007
Audience :
International
Journal title :
Lecture Notes in Computer Science
ISSN :
0302-9743
eISSN :
1611-3349
Publisher :
Springer, Berlin, Germany
Volume :
4479
Pages :
322-332
Peer reviewed :
Peer reviewed
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since 03 January 2009

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