Browsing by Author "Youssef, Khaled Y"

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    Design of power efficient routing protocol for smart livestock farm applications
    (ASTES Publishers, 2020-12) Abou Emira, Shahenda S; Youssef, Khaled Y; Abouelatta, Mohamed
    The demand on livestock as a source of protein is increasing with the dramatic increase of world population which approaches 8 billion. As a result, the monitoring of the performance of livestock breeding is becoming essential. The technique which could increase livestock production and improve the efficiency of operation is digitalization of livestock management.This could be achieved by models' realization that relates the rates of productivity and the parameters of operation which count on collecting big volume of data that results from digitalization process. In fact, the adoption of IoT technology in livestock environments is usually challenged by energy problems and power efficient communication technologies. In this paper a modified AODV protocol is proposed to enhance the traditional AODV protocol used in MANET networks that was mainly concerned with optimal route selection based on shortest path to send the data packets through it. The proposed technique models and simulates operational parameters of intermediate nodes as a factor to decide on the optimal path selection in IoT based MANET networks in addition to the shortest path that leads to transmission power gain of the source node. The results show a significant power performance enhancement that reaches average power saving of 33.3% compared to the traditional AODV protocol. © 2020 ASTES Publishers. All rights reserved
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    On design of IoT-based power quality oriented grids for industrial sector
    (ASTES Publishers, 2021-01) Gomaa, Nesma N; Youssef, Khaled Y; Abouelatta, Mohamed
    Manufacturing industry is facing several challenges in power quality and energy consumptions that play a significant role in the cost of goods sold in addition to the operational efficiency of manufacturing plants. The current techniques are not enough to manage the manufacturing processes from power perspectives as it is focusing only on the monitoring of the power grids using smart meters connected to SCADA systems. In this paper, a novel technique is proposed that is based on energy-aware manufacturing process control model using internet of things technology. The model is applied on cabling industry use case in addition to implementation of a MATLAB model for this purpose whereas the IoT physical layer is collecting, analyzing and communicating the electric power parameters correlated with the manufacturing process parameters received from PLC IoT nodes. Accordingly, the effective power quality is enhanced using manufacturing process control rather than additional correction nodes in traditional techniques. On applying the model on cabling use case, the Total Harmonic Distortion (THD-current) is improved 10 times to be 3.1% against 31.4% and the power factor is improved by 33% from 0.7 to 0.93 without additional correction nodes. © 2020 ASTES Publishers. All rights reserved