Siham Aouad

Dr. Siham Aouad

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Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2021 in International Journal of Advanced Computer Science and Applications
Verified
Journal Article
Open access
PDF file
YSYassine Sabri
Yassine Sabri
SASiham Aouad
Siham Aouad
AMAberrahim Maizate
Aberrahim Maizate
The Internet of Things (IoT) is making human life easy in all aspects. The applications it offers are beyond com-prehension. IoT is an abstract idea, a notion which interconnects all devices, tools, and gadgets over the Internet to enable these devices to communicate with one another. IoT finds application in various areas, such as intelligent cars and their safety, security, navigation, and efficient fuel consumption. This project puts forth a solution to achieve the desired outcome of saving precious human lives that are lost to road crashes .In this context, we propose to develop a system, we are designing and deploying a system that not only avoids accidents but also to take action accordingly. This research aims at dealing with the issues that cause fatal crashes and also integrates measures to ensure safety. Life without transportation is impossible to imagine; it makes far off places easy to reach and greatly reduces the travel time. But the problems which surface due to the ever-increasing number of vehicles on the road cannot be ignored. The project aims to eradicate a few of the major reasons of car crashes and also aims to integrate post-crash measures.


1 March 2025 in International Journal of Reconfigurable and Embedded Systems (IJRES)
Verified
Journal Article
Open access
PDF file
AHADIL HILMANI
ADIL HILMANI
YSYassine Sabri
Yassine Sabri
AMAbderrahim Maizate
Abderrahim Maizate
SASiham Aouad
Siham Aouad
MKMOHAMED KOUNDI
MOHAMED KOUNDI
In wireless sensor networks (WSNs), optimizing energy consumption, and ensuring efficient data transmission are crucial for network longevity and performance. This paper introduces an enhanced clustering technique for WSNs that aims to extend network lifetime and ensure reliable data delivery. Instead of regular K-Means clustering, we integrate the Silhouette score method to evaluate cluster quality and decide the optimal number of clusters. This improves how nodes are grouped together in the network. Additionally, we strategically select routing paths from cluster heads to the base station that minimize energy drainage. Comprehensive simulations show our dual optimization approach outperforms standard K-Means in terms of energy efficiency, stable network organization and effective data transmission and overall, the proposed improvements to clustering and routing significantly advance energy-constrained WSNs toward more sustainable and dependable real-world applications

16 December 2025 in Engineering Proceedings
Verified
Conference Paper
Open access
PDF file
HOHamid Ouidir
Hamid Ouidir
ABAmine Berqia
Amine Berqia
SASiham Aouad
Siham Aouad
Underwater Wireless Sensor Networks (UWSNs) are widely used technologies in aquatic environments. However, these types of networks face several constraints caused by the mobility of nodes, energy consumption, and constraints due to acoustic communication. In light of this, the location of nodes appears as a promising axis for improving the services expected from these networks. To address these, we suggest the LUCOTED approach—a Linear Constraint Optimization Technique for estimating unknown node positions by selecting anchor nodes with the highest energy and shortest distance, based on randomly initialized conditions. It achieves 98% accuracy, exceeding Gradient Descent and Trilateration methods. Moreover, our method LUCOTED outperforms the DEEC algorithm in terms of error when the number of anchor nodes is below 80 and achieves higher accuracy than the EPRP technique when the number exceeds 100.


1 November 2023 in International Journal of Reconfigurable and Embedded Systems (IJRES)
Verified
Journal Article
Open access
PDF file
SASiham Aouad
Siham Aouad
IMIssam El Meghrouni
Issam El Meghrouni
YSYassine Sabri
Yassine Sabri
AHADIL HILMANI
ADIL HILMANI
AMAbderrahim Maizate
Abderrahim Maizate
In software-defined networking (SDN), network traffic is managed by software controllers or application programming interfaces (APIs) rather than hardware components. It differs from traditional networks, which use switches and routers to control traffic. Using SDN, you can create and control virtual networks or traditional hardware networks. Furthermore, OpenFlow allows network administrators to control exact network behavior through centralized control of packet forwarding. For these reasons, SDN has advantages over certain security issues, unlike traditional networks. However, most of the existing vulnerabilities and security threats in the traditional network also impact the SDN network. This document presents the attacks targeting the SDN network and the solutions that protect against these attacks. In addition, we introduce a variety of SDN security controls, such as intrusion detection systems (IDS)/intrusion prevention system (IPS), and firewalls. Towards the end, we outline a conclusion and perspectives.