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Wireless sensornetworks in nuclear plants / Mohamed Yehia Ahmed Habash ; Supervised Khaled Mohamed Fouad Elsayed , Hany Mohamed Elsayed , Nabil Mohamed Abdelfatah Ayad

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Mohamed Yehia Ahmed Habash , 2015Description: 74 P. : charts , facsimiles ; 30cmOther title:
  • شبكات الاستشعار اللاسلكية في المنشاّت النووية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communications Summary: In this thesis, a system based on a WSN to monitor the radiation level around and inside a nuclear power plant is designed and investigated using the Castalia Simulator. A new approach for validating the sensor reading and detecting a new event is proposed. The fault detection algorithm is applied at the cluster-head, and is based on the idea that the sensor data tends to be correlated in both time and space By using the idea of Triple Modular Redundancy, three reference sensor nodes are used in each cluster. We use the two out of three voting mechanism to select a good sensor as a reference for checking the correctness of other sensors in the same cluster. The event detection algorithm is applied at the sink node and exploits the historical data maintained at the sink node. The simulation results show that the proposed fault detection algorithm outperforms other existing algorithms in terms of fault detection accuracy/ false alarm rate, number of received/ sent messages per node, fault detection processing time, and energy consumed
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Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2015.Mo.W (Browse shelf(Opens below)) Not for loan 01010110066740000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.08.M.Sc.2015.Mo.W (Browse shelf(Opens below)) 66740.CD Not for loan 01020110066740000

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

In this thesis, a system based on a WSN to monitor the radiation level around and inside a nuclear power plant is designed and investigated using the Castalia Simulator. A new approach for validating the sensor reading and detecting a new event is proposed. The fault detection algorithm is applied at the cluster-head, and is based on the idea that the sensor data tends to be correlated in both time and space By using the idea of Triple Modular Redundancy, three reference sensor nodes are used in each cluster. We use the two out of three voting mechanism to select a good sensor as a reference for checking the correctness of other sensors in the same cluster. The event detection algorithm is applied at the sink node and exploits the historical data maintained at the sink node. The simulation results show that the proposed fault detection algorithm outperforms other existing algorithms in terms of fault detection accuracy/ false alarm rate, number of received/ sent messages per node, fault detection processing time, and energy consumed

Issued also as CD

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