Lyamine Guezouli

• Doctor of Engineering
• Researcher at Higher National School of Renewable Energies, Environment and Sustainable Development

Water is essential for ecological sustainability and human survival, necessitating effective management to meet rising global demands and address climate change. Traditional water supply monitoring methods are labor-intensive and slow, limiting real-time data acquisition and issue resolution. This paper presents QoW-Pro, an IoT-based water monitori...

This research is concerned with the fusion of artificial intelligence (AI) and machine learning within multi-hierarchical caching systems, specifically targeting vehicular and edge caching domains. This study introduces an innovative architecture harmonizing Thompson sampling learning-based caching policies with advanced vehicle clustering and cont...

The Internet of Vehicles (IoV) enhances vehicular communication, promising better connectivity and user experiences. However, maintaining stable data delivery in dynamic vehicular environments is challenging. This paper introduces Mob-Cach, a novel mobility-aware cache management strategy that leverages real-time vehicular mobility information. Our...

In this study, we conduct an extensive examination of the performance of CsPbI3-based perovskite solar cells (PSCs) through rigorous numerical simulations. We explore a range of inorganic materials to assess their suitability for use as hole transport layers (HTL) and electron transport layers (ETL). The ETL candidates considered encompass ZnO, Ga2...

The amount of data generated by Vehicular Ad-Hoc Networks (VANETs) and the Internet of Vehicles (IoV) has increased exponentially, providing valuable insights into traffic patterns, road conditions, and driver behavior. However, the unstructured, incomplete, and unreliable nature of the data makes it challenging to process and analyze effectively....

In this article, we propose a protocol called DataGA-DRF (a protocol for Data collection using a Genetic Algorithm through Dynamic Reference Points) that collects data from Heterogeneous wireless sensor networks. This protocol is based on DGA (Destination selection according to Genetic Algorithm) to control the movement of the UAV (Unmanned aerial...

In heterogeneous wireless networks, collaboration between mobile and static elements allows optimal exchange (in terms of latency, reliability and energy savings) ensured by the mobile elements of the data collected with precision by the static elements. In this article, we focus on this collaboration. We base our study on genetic algorithms to sel...

Mobile Heterogeneous Wireless Sensor Networks (Heterogeneous WSNs) are mainly characterized by their internal diversity. In such networks, the variety of properties in each component provides profitable outcomes related to many metrics such as network lifetime and hardware cost. Although it offers remarkable advantages, random mobility causes major...

The mobility of nodes in a wireless sensor network is a factor affecting the quality of service offered by this network. We think that the mobility of the nodes presents an opportunity where the nodes move in an appropriate manner. Therefore, the routing algorithms can benefit from this opportunity. Studying a model of mobility and adapt it to ensu...

Mobility has always represented a complicated phenomenon in the network routing process. This complexity is mainly facilitated in the way that ensures reliable connections for efficient orientation of data. Many years ago, different studies were initiated basing on routing protocols dedicated to static environments in order to adapt them to the mob...

The volume contains the proceedings of the international conference on Internet of things and Cloud Computing (ICC'2016). The international conference on Internet of things and Cloud Computing (ICC'2016) represents an ideal opportunity for the students and the researchers from both industrial and academic domains having as main objective to present...

The volume contains the proceedings of the international conference on Internet of things and Cloud Computing (ICC'2016). The international conference on Internet of things and Cloud Computing (ICC'2016) represents an ideal opportunity for the students and the researchers from both industrial and academic domains having as main objective to present...

The main purpose of this paper is to enable congestion prediction on urban freeways and objectively measure its impact on daily life. Indeed, cars' trafic becomes increasingly difficult and, often causes traffic jams that can last for hours, because of growing number of used cars, in addition to the unforeseen events that may complicate more and mo...