Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/11219
Title: Wireless Embedded System for Anti-Theft and Anti-Forget for Personal Belonging by Using Sensor Network
Other Titles: نظام الحماية من السرقة والنسيان للمقتنيات الشخصية اللاسلكية باستخدام الانظمة المدمجة وشبكة الحساسات
Authors: OSMAN, NADEEN YASSEN JAFER
Supervisor - OMER ABDEL RAZAG SHARIF ABUBAKER
Keywords: Electrical Engineering
Control and Microprocessor
Theft and forgetfulness
Wireless Personal
Embedded Systems
Issue Date: 1-Mar-2015
Publisher: Sudan University of Science and Technology
Citation: OSMAN,NADEEN YASSEN JAFER .Wireless Embedded System for Anti-Theft and Anti-Forget for Personal Belonging by Using Sensor Network /NADEEN YASSEN JAFER OSMAN ;OMER ABDEL RAZAG SHARIF ABUBAKER .-khartoum :Sudan University of Science and Technology ,College of Engineering,2015 .-148p. :ill. ;28cm .-M.Sc.
Abstract: In recent years, the lost of personnel properties such as vehicle, laptops, briefcase and smart mobiles were increasing at an alarming rate around the world. People have started to use the monitoring and theft control systems installed in their properties based on Global System Mobile (GSM) and/or Global Positioning System (GPS). Unfortunately, the cellular network and GPS are not available in all places throughout the country such as forests, deserts and uninhabited areas, and inside the tunnels as well as the high power consumption and installation cost. Therefore, the wireless sensor network techniques were proposed to overcome theses shortages. The main aim in this thesis is to design and realize a simple, low cost and low power consumption anti-theft and anti-forget system for personal belongings using an inbuilt microcontroller and wireless sensor network means. The proposed system was designed, simulated and implemented. The obtained results show an acceptable performance level, even the estimated distance from the received signal strength was crucially affected by the surrounding environment.
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/11219
Appears in Collections:Masters Dissertations : Engineering

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