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Modified prediction in wireless networks / Mohammad Fawzy Fahmy Hassan ; Supervised Amr Ahmed Badr , Mostafa Reda , Ibrahim Farag

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohammad Fawzy Fahmy Hassan , 2014Description: 95 P. : charts ; 25cmOther title:
  • تنبؤ حركة الموبايلات فى الشبكات اللاسلكية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science Summary: Mobility prediction is defined as guessing the next access point(s) a mobile terminal will join so as to connect to a (wired or wireless) network. Knowing in advance where a terminal is heading for allows taking proactive measures so as to mitigate the impact of handovers and, hence, improve the network QoS. This thesis analyzes this topic from different points of view. Many studies introduced in this topic and each has a technique. prediction using data minig is one of them. Previous studies of data mining techniques did not manipulate GPS raw data. Preposed solution in this thesis uses GPS data to predict the location of moving users. Clustering and classification are used in this study
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Item type Current library Home library Call number Copy number Status Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2014.Mo.M (Browse shelf(Opens below)) Not for loan 01010110065151000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.20.03.M.Sc.2014.Mo.M (Browse shelf(Opens below)) 65151.CD Not for loan 01020110065151000

Thesis (M.Sc.) - Cairo University - Faculty of Computers and Information - Department of Computer Science

Mobility prediction is defined as guessing the next access point(s) a mobile terminal will join so as to connect to a (wired or wireless) network. Knowing in advance where a terminal is heading for allows taking proactive measures so as to mitigate the impact of handovers and, hence, improve the network QoS. This thesis analyzes this topic from different points of view. Many studies introduced in this topic and each has a technique. prediction using data minig is one of them. Previous studies of data mining techniques did not manipulate GPS raw data. Preposed solution in this thesis uses GPS data to predict the location of moving users. Clustering and classification are used in this study

Issued also as CD

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