Systemsoftware und Verteilte Systeme

Mohamed Abdelaal

Contact information

Bild


Postadresse   Carl v. Ossietzky Universität

  Fakultät II, Department für Informatik

  Oldenburg, Niedersachsen 26111

  Germany
Telefon

  +49 441 798 4669 (Uni)

Fax     +49 441 798 2756 (Uni)
Email mohamed.abdelaal(at)informatik.uni-oldenburg.de



 

Research





Supervisors:  Prof. Dr.-Ing. Oliver Theel,

Prof. Dr. Daniela Niklas



Title Design and analysis of power conservation techniques for maximizing the lifetime expectancy of tiny sensing devices 



Research Interests Wireless Sensor Networks, Signal Processing, Smartphones, Internet of Things



Project System Correctness Under Adverse Conditions (SCARE) 





Open Master/Bachelor Work 




Design and Implementation of Objects Tracking System Utilizing Wireless Sensor Networks




Scholarships




* SCARE (DFG-GRK 1765), funded by the German Research Foundation


* DAAD RISE 2014 (jointly with Vasilisa Bashlovkina, Grinnell College, Iowa, USA)




Publications




[1] M. Abdelaal, G. Yang, O. Theel and Martin Fraenzle “EAVS: Energy Aware Virtual Sensing for Wireless Sensor Networks," Submitted to the 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, April 2014. 


[2] M. Abdelaal and O. Theel, “An Efficient and Adaptive Data Encoding Technique for Wireless Sensor Networks,” The IEEE Conference on Wireless Sensors, Malaysia, December 2013.


[3] M. Abdelaal and O. Theel, “Power Management in Wireless Sensor Networks: Challenges and Solutions,” The IEEE And IFIP International Conference in Central Asia on Internet (ICI 2013), Uzbekistan, October 2013. (PDF


[4] M. Abdelaal, R. Ramadan, A. Dessouki, and M. Abdel-Meguid, “Energy Saving and Reliable Data Reduction Techniques for Single and Multi-Modal Wireless Sensor Networks,” The International Conference on Engineering and Technology, German University In Cairo, 2012.


[5] M. Abdelaal, R. Ramadan, A. Dessouki, and M. Abdel-Meguid, “Reliable Data Reduction Approaches in Wireless Sensor Networks: Greenhouse Plant Disease Detection As A Case Study,” The CiiT International Journal of Networking and Communication Engineering, February Issue, 2012.


[6] M. Abdelaal, R. Ramadan, A. Dessouki, and M. Abdel-Meguid, “An Efficient Data Reduction Technique for Intelligent Environments,” The 7th International Conference on Intelligent Environments - IE'11, Nottingham Trent University, United Kingdom, 2011.