Work place: Arab American University, Jenin, Palestine
E-mail: Khalid.Rabayah@aauj.edu
Website:
Research Interests: Computer Architecture and Organization, Data Mining, Data Compression, Data Structures and Algorithms, Big data and learning analytics
Biography
Dr. Khalid Rabaya’h is an Associate Professor in Computer Science and Information System. He is the founder and the manager of an Information System research center at the Arab American University-Jenin, Palestine. Dr. Rabayah is an active researcher in three IT related areas; Information systems, Wireless Networks and Internet of Things (IoT), and Data Analysis and Mining. His research interest in Information systems includes knowledge management, e-commerce, e-learning, technology adoption modelling and diffusion, especially in the context of developing countries, and cross-cultural issues in the use of IT.
His research interest in Wireless Networks and Internet of Things, started in 2015. Currently he is involved in a project which focuses on enhancing the quality of services (QoS) of Internet of things (IoT), based on light weight security protocols.
His research interest in Data mining and data analysis started back in 2013. His research experience in data mining and analysis focuses on the use of the statistical software package of IBM SPSS and AMOS. He professionally uses these packages in developing predictive models for business processes and discovering hidden patterns in unstructured data and big data.
By Haytham Qushtom Khalid Rabaya h
DOI: https://doi.org/10.5815/ijcnis.2017.11.03, Pub. Date: 8 Nov. 2017
The Internet of Things (IoT) is advancing to prevail the application of the Internet, with the vision to connect everything around us. The deployment of IoT is advancing at a very fast pace, and relying on modified versions of the TCP/IP protocol suits. This rapid growth of the field is leaving a number of critical issues unresolved. Among the most critical issues are the quality of service and security of the delivered data. This research is set to tackle these issues through proposing a data delivery scheme that improves the quality of service (QoS) of classified data. The proposed solution relies on differentiating the priority of the delivered data, and to give preferences to secured and user-defined high priority traffic. The proposed solution denoted as Secured Traffic Priority Differentiation (STPD), is made to support any application, and is implemented at the Medium Access Control (MAC) sub layer. The proposed solution was tested in a virtual environment that simulates real scenarios using the Contiki operating system, using the Cooja simulator. The simulation results demonstrated a significant improvement of the proposed solution over the Carrier Sense Multiple Access Collision Avoidance, (CSMA/CA), by at 20%. The proposed solution worked to improve the channel utilization, data reliability, decreased latency of high priority traffic, and low priority traffic as well.
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