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Optimal spectrum assignment and clustering for cognitive radio wireless sensor Networks / Rashad Mohamed Eletreby ; Supervised Mohamed Mohamed Khairy , Hany Mohamed Elsayed

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Rashad Mohamed Eletreby , 2014Description: 66 P. : plans ; 30cmOther title:
  • التخصيص الأمثل للطيف و التجميع لشبكات الإستشعار اللاسلكية الإدراكية [Added title page title]
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Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications Summary: In this thesis, we {uFB01}rstly consider the problem of probabilistic, and decentral- ized clustering for CRSN by introducing a spectrum - aware, energy - e{uFB03}cient, and decentralized clustering protocol for CRSNs. Secondly, we consider the problem of the optimal spectrum assignment for a single - cluster CRSN under area coverage constraint by formulating a power minimization optimization problem that aims to minimize the total transmit power given interference, minimum data rate, power budget, and coverage constraints. Thirdly, we investigate the joint optimization of clustering and spectrum assignment for a CRSN with multiple clusters. This problem is considered as an extension to the single - cluster spectrum assignment problem. Several algorithms with di{uFB00}erent signaling and computational complexities are proposed. Intensive simulations are carried out to investigate performance gains and trade-o{uFB00}s between the proposed algorithms
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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.2014.Ra.O (Browse shelf(Opens below)) Not for loan 01010110064899000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2014.Ra.O (Browse shelf(Opens below)) 64899.CD Not for loan 01020110064899000

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

In this thesis, we {uFB01}rstly consider the problem of probabilistic, and decentral- ized clustering for CRSN by introducing a spectrum - aware, energy - e{uFB03}cient, and decentralized clustering protocol for CRSNs. Secondly, we consider the problem of the optimal spectrum assignment for a single - cluster CRSN under area coverage constraint by formulating a power minimization optimization problem that aims to minimize the total transmit power given interference, minimum data rate, power budget, and coverage constraints. Thirdly, we investigate the joint optimization of clustering and spectrum assignment for a CRSN with multiple clusters. This problem is considered as an extension to the single - cluster spectrum assignment problem. Several algorithms with di{uFB00}erent signaling and computational complexities are proposed. Intensive simulations are carried out to investigate performance gains and trade-o{uFB00}s between the proposed algorithms

Issued also as CD

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