Abderrahmane Hajraoui

Work place: University of Abdelmalek Essaâdi, Faculty of Sciences, Department of Physics, Communication and Detection Systems Laboratory, Tetouan, Morocco

E-mail: ad_hajraoui@hotmail.com

Website: https://www.researchgate.net/scientific-contributions/Hajraoui-Abderrahmane-2055766367

Research Interests: Antennas, Image Processing, Wireless Networks, Signal Processing, Graph and Image Processing


Abderrahmane Hajraoui is a professor of the Higher Education at University of Abdelmalek Essaâdi. He’s a director thesis in the Physics department, Communication and Detection Systems Laboratory (CDSL), Faculty of sciences, University of Abdelmalek Essaâdi, Tetouan, Morocco. His research areas are: Signal and image processing, automation systems, simulation systems, antennas and radiation, microwave devices and intelligent wireless sensors networks.

Author Articles
The Scalability and Stability Analysis of KLEACH Routing Protocol in Wireless Sensor Networks

By Abdelkader Bourzek Abderrahmane Hajraoui Saad Chakkor Mostafa Baghouri

DOI: https://doi.org/10.5815/ijcnis.2016.04.03, Pub. Date: 8 Apr. 2016

The scalability and stability in wireless sensor networks (WSNs) are considering as an important issue due to the large numbers of nodes and consequently their node density and deployment. While the network size increase, the need of scalable and efficient routing protocols is indispensable. Moreover, sensor nodes have to be alive to guarantee the network operation for the period which the first node died doesn’t appear. This period, named network stability region, is ameliorated by many techniques. In fact, the balancing energy consumption and clustering method are among those techniques. In this paper, we present the scalability and stability analysis of the routing protocol LEACH based on K-means clustering algorithm (KLEACH). Accordingly, the simulation results of the performance metrics verify the efficiency and the scalability of KLEACH protocol compared to LEACH.

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High Resolution Identification of Wind Turbine Faults Based on Optimized ESPRIT Algorithm

By Saad Chakkor Mostafa Baghouri Abderrahmane Hajraoui

DOI: https://doi.org/10.5815/ijigsp.2015.05.04, Pub. Date: 8 Apr. 2015

Many researchers employ ESPRIT method as robust detection tool to identify fault frequency and amplitude in induction machines. However, this algorithm presents some limitation in terms of computational time and required data memory size. This drawback makes this technology unusable in real time diagnosis application. In the fact that wind turbine machine necessitates an on-line regular maintenance to guarantee an acceptable lifetime and to maximize its productivity. Thus, an improved version of ESPRIT-TLS method has been proposed and simulated to extract accurately fault frequencies and their magnitudes from the wind stator current with minimum computation time and less memory cost. The proposed approach has been evaluated by computer simulations under many fault kinds. Study outcomes prove the benefits and the performance of Fast-ESPRIT.

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Efficiency Evaluation Metrics for Wireless Intelligent Sensors Applications

By Saad Chakkor El Ahmadi Cheikh Mostafa Baghouri Abderrahmane Hajraoui

DOI: https://doi.org/10.5815/ijisa.2014.10.01, Pub. Date: 8 Sep. 2014

The metrology field has been progressed with the appearance of the wireless intelligent sensor systems providing more capabilities such as signal processing, remote multi-sensing fusion etc. This kind of devices is rapidly making their way into medical and industrial monitoring, collision avoidance, traffic control, automotive and others applications. However, numerous design challenges for wireless intelligent sensors systems are imposed to overcome the physical limitations in data traffic, such as system noise, real time communication, signal attenuation, response dynamics, power consumption, and effective conversion rates etc, especially for applications requiring specific performances. This paper analyzes the performance metrics of the mentioned sensing devices systems which stands for superior measurement, more accuracy and reliability. Study findings prescribe researchers, developers/ engineers and users to realizing an optimal sensing motes design strategy that offers operational advantages which can offer cost-effective solutions for an application.

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