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Graduation Projects
This page presents the graduation projects of students that I have supervised during previous terms.
It serves as an online resource for new students working on related projects.
Ongoing projects are available on
http://sites.google.com/site/aniskoubaagraduationprojects/
The previous CCIS graduation projects for all students
http://sites.google.com/site/ccisgraduationprojects/
Fall 2009
Project 1: Z-Monitor: A Monitoring and Troubleshooting Tool for ZigBee-based Wireless Sensor Networks
Students: Ahmed Al-Dakhil
Abstract. Wireless Sensor Network is a new computing architecture with a variety of
potential application. Due to close interaction with the environment, large scale, 
limited resource of sensor nodes, visualizing and monitoring the newtork with
a graphical user interface (GUI) is important. In this report we aim to describe
the phases of designing and implementing the Z-Monitor tool that monitors and
visualizes the WSN packets and drawing tolpology. We believe that Z-Monitor
will be of a great interest for the TinyOS research community using the open
source implementation of IEEE 802.15.4/ZigBee under TinyOS, namely those
implemented under the efforts of TinyOS 15.4 WG and TinyOS ZigBee WG.
Downloads: Report | Presentation |Demo
Project 2: Group of Pilgrims Monitoring by using Wireless Sensor Networks
Students: Moaad Al-Salman
Abstract. Group of pilgrims monitoring (GPM) is a system to manage group of pilgrims at the most congested spot in the world, and navigates the pilgrim to arrive to his leader or their camp, depending on wireless sensor networks, in an interactive way.
Downloads: Report | Presentation |Demo |Poster
Fall 2008
Project 1: Tracking Application For Pilgrims Monitoring System
Students: Maha Ben Khanien / Fatma Al-Amri
Abstract. Al-Hajj is one of the ve pillars of Islam. Muslims meet other Muslims from
all over the world. One of the main bad consequences resulting from the high density of people is being lost, which may lead to disastrous situations for poor pilgrims, women
and children. In fact, it is very common that some pilgrims lose contact with their groups or friends during the rituals and this situation may be critical for certain pilgrims (weak, elderly, sick, etc).
The retrieval of missing pilgrims by Civil Defense agents or local rescuer is a 
hard and sometimes impossible mission due the huge number and high density of pilgrims. However, the use of a wireless sensor network to support local rescuers in the localization and thus the retrieval of a missing pilgrims will be extremely helpful in turning the mission much easier. In our expected system, we assume that each pilgrim has a sensor node in his hand and that sends periodically his contact information to the sensor network which enable to lo cate him whenever he moves.
The TAPM developed (1) localization mechanisms to locate the position of
pilgrim and (2) a database system that enables the storage, the update and
retrieval of pilgrim locations during his movement.
Downloads: Report | Presentation |Demo
Related Articles:
جريدة الرياض
طالبات من جامعة الإمام يبتكرن برامج تقنية لمعرفة أماكن المفقودين واكتشاف الحرائق خلال موسم الحج
Project 2: A Monitoring Application For Fire Detection using a Wireless Sensor Network
Students: Maryam AL-AL-Dejain / Nourah AL-Angari
Abstract.
Downloads: Report | Presentation |Demo
Spring 2008
Project: Design of a Tracking Mobile Target Application using a Wireless Sensor Network
Student: Basem Al-Jedai
Abstract. Tracking mobile target in wireless sensors network targets involves fi nding out the location of mobile targets based on wireless sensor nodes with known p
ositions. Target tracking deals with nding spatial coordinates of a moving object and being able to track its movements. One example is the application for positioning a mobile target based on received signal strength (RSSI) from a set of radio nodes placed at known locations.
In this report, we are focusing on tracking mobile target application using xed known sensors position. The main problem is to estimate the distances of the mobile target from the sensor nodes based on received signal strength (RSSI) and according to that the location will be estimated using the bounding box algorithm (Min-Max).
Downloads: Report | Presentation | Demo