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Power efficient data storage algorithms In wireless sensor networks and cognitive radio sensor networks / Mustafa Abdelsalam Kishk ; Supervised Mohamed Mohamed Khairy , Omar Ahmed Nasr

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mustafa Abdelsalam Kishk , 2015Description: 64 P. : charts ; 30cmOther title:
  • خوارزميات تخزين المعلومات ذات كفاءة استهلاك طاقة عالية فى شبكات المجسات اللاسلكية و شبكات المجسات الراديو معرفية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Engineering and Communications Summary: Data storage algorithms are used in wireless sensor networks in order to ensure reliability and persistence of the sensed data. These algorithms gain their importance especially when network nodes are continuously exposed to sudden failure. In the first part of this thesis we propose a framework and introduce the required modifications for these data storage algorithms to work properly in CRSNs. We apply our proposed modifications to 3 different data storage algorithms and show with simulation results how these modifications make the performance in CRSNs approaches the performance in normal WSNs. In the second part of this thesis we propose a framework that can be used with any data storage algorithm to optimize the node transmission power value so that the overall consumed energy through the network is minimized while maintaining high successful decoding probability
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2015.Mu.P (Browse shelf(Opens below)) Not for loan 01010110068097000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2015.Mu.P (Browse shelf(Opens below)) 68097.CD Not for loan 01020110068097000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Engineering and Communications

Data storage algorithms are used in wireless sensor networks in order to ensure reliability and persistence of the sensed data. These algorithms gain their importance especially when network nodes are continuously exposed to sudden failure. In the first part of this thesis we propose a framework and introduce the required modifications for these data storage algorithms to work properly in CRSNs. We apply our proposed modifications to 3 different data storage algorithms and show with simulation results how these modifications make the performance in CRSNs approaches the performance in normal WSNs. In the second part of this thesis we propose a framework that can be used with any data storage algorithm to optimize the node transmission power value so that the overall consumed energy through the network is minimized while maintaining high successful decoding probability

Issued also as CD

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