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Monitoring oil pipelines and tanks using wireless sensor network / Ola Ibrahim Abdelfatah Elnaggar ; Supervised Magda B. Fayek , Rabie A. Ramadan

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Ola Ibrahim Abdelfatah Elnaggar , 2018Description: 65 P. : charts ; 30cmOther title:
  • مراقبة انابيب وخزانات النفط باستخدام شبكة الاستشعار اللاسلكية [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: Wireless sensor network (WSN) is a network for real time applications that uses very tiny devices called wireless sensor nodes with very limited power, coverage and communication range. In WSN, sensor nodes exceptionally have restricted power because of equipment imperatives. Packet losses and retransmissions that generate from crowding are the most problems that waste precious energy and shorten the network lifetime. This problem is solved by finding the best technique to deploy the sensor nodes to prolong the network lifetime. There are many techniques that help in exploring the best deployment to nodes in WSN such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Brain Storm Algorithm (BSA), etc. This thesis discusses a lot of techniques to solve problems of monitoring oil pipeline and oil tanks
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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 Cai01.13.06.M.Sc.2018.Ol.M (Browse shelf(Opens below)) Not for loan 01010110077612000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2018.Ol.M (Browse shelf(Opens below)) 77612.CD Not for loan 01020110077612000

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

Wireless sensor network (WSN) is a network for real time applications that uses very tiny devices called wireless sensor nodes with very limited power, coverage and communication range. In WSN, sensor nodes exceptionally have restricted power because of equipment imperatives. Packet losses and retransmissions that generate from crowding are the most problems that waste precious energy and shorten the network lifetime. This problem is solved by finding the best technique to deploy the sensor nodes to prolong the network lifetime. There are many techniques that help in exploring the best deployment to nodes in WSN such as Genetic Algorithm (GA), Ant Colony Optimization (ACO), Brain Storm Algorithm (BSA), etc. This thesis discusses a lot of techniques to solve problems of monitoring oil pipeline and oil tanks

Issued also as CD

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