Sara Nouh


Wireless sensor networks (WSNs) are one of the most advanced means that are used for monitoring and reporting. The fact that they consist of small, low cost sensor nodes that are continuously used in a variety of applications has made them become a very attractive field in research. One of the main applications of interest in this research is monitoring the electromagnetic (EM) pollution caused by the rapid expansion of electronic and wireless devices. Research has proven that radiations that these devices emit have a huge effect on the human’s health and therefore are worth monitoring. An advanced algorithm was developed in order to monitor these emissions and its main parameters were randomized to give the algorithm a room of flexibility to suit a variety of monitoring scenarios. Although WSNs are used in numerous critical applications, they still face some challenges. Relying on battery-operated sensors causes the network to be resource constrained and therefore, there is a continuous need for prolonging the network lifetime. In this thesis, different death criteria will be applied and their effect on the network lifetime will be investigated. Moreover the impact of changing the number of sensing cycles per network master will be investigated, since the main aim is to exploit the sensor’s energy efficiently. Finally, the selection of network master will be examined, i.e., random vs. planned to evaluate its effect on the previous simulations and more importantly on the network lifetime.


Electronics & Communications Engineering Department

Degree Name

MS in Electronics & Communication Engineering

Graduation Date


Submission Date

May 2017

First Advisor

Amer, Hassanein

Committee Member 1

El-Soudani, Magdy


86 p.

Document Type

Master's Thesis


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Institutional Review Board (IRB) Approval

Approval has been obtained for this item


At the beginning I would like to express my sincere gratitude to my advisor Prof. Hassanein Amer for his continuous support, patience, motivation, enthusiasm, and immense knowledge throughout my study and research. I could not have imagined having a better advisor than him. My sincere thanks also goes to Dr. Sami Botros for his endless support, encouragement, deep interest and being there at all times. It is a great pleasure to acknowledge my deepest thanks to Dr. Ahmed Khattab, Dr. Ramez Daoud and Dr. Hany El-Sayed for their great support, precious guidance and stimulating discussions. I would also like to thank Eng. Nora Ali for her great assistance in my thesis project. Also, many thanks to the whole SEAD team for supporting me all the way. Last but not least, I would like to acknowledge my dearest friends and work colleagues for their continuous support and motivation. Finally, I would like to express my sincere thanks to my whole family, especially my father and my mother, for their great support since I have started pursuing my masters. They were always there for me and by my side and I couldn’t have done it without every single one of them. I am so grateful to have them all in my life. Also, I would like to thank my husband for his endless support during those hard times and would like to dedicate this thesis to my little Farida.