Wireless sensornetworks in nuclear plants / Mohamed Yehia Ahmed Habash ; Supervised Khaled Mohamed Fouad Elsayed , Hany Mohamed Elsayed , Nabil Mohamed Abdelfatah Ayad
Material type: TextLanguage: 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]
- Issued also as CD
Item type | Current library | Home library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|---|
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 | 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 |
Browsing المكتبة المركزبة الجديدة - جامعة القاهرة shelves Close shelf browser (Hides shelf browser)
No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | No cover image available | ||
Cai01.13.08.M.Sc.2015.Mo.S Sample plan creation and full chip coverage for optical proximity correction models / | Cai01.13.08.M.Sc.2015.Mo.S Speech processing modules for the automatic assessment of children with apraxia of speech / | Cai01.13.08.M.Sc.2015.Mo.S Speech processing modules for the automatic assessment of children with apraxia of speech / | Cai01.13.08.M.Sc.2015.Mo.W Wireless sensornetworks in nuclear plants / | Cai01.13.08.M.Sc.2015.Mo.W Wireless sensornetworks in nuclear plants / | Cai01.13.08.M.Sc.2015.Mu.M Malware analysis and detection : Botnet case study / | Cai01.13.08.M.Sc.2015.Mu.M Malware analysis and detection : Botnet case study / |
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
There are no comments on this title.