Khalid Zine-dine

Mohammed V University Rabat Morocco · Computer Science

Cloud computing is a critical component in the success of 5G and 6G networks, particularly given the computation-intensive nature of emerging applications. Despite all it advantages, cloud computing faces limitations in meeting the strict latency and bandwidth requirements of applications such as eHealth and automotive systems. To overcome these li...

Cloud computing, with its novel presence at the cloud Edge, proves indispensable to the success of the fifth (5G) and sixth-generation (6G) networks. This due to the myriad set of expected applications and required stringent constraints on latency and bandwidth, e.g., eHealth and Automotive vehicles which fall under the 5G URLLC (Ultra Reliable and...

The Internet of Things (IoT) is emerging as a disruptive technology with tangible impact on citizens’ lives and the way businesses are carried out. IoT lies upon deploying networks of connected devices that are able to acquire data (sensors) and act on it (actuators). Mostly, these devices are wirelessly connected, to promote ease of deployment, an...

With the increasing stringent QoS constraints (e.g., latency, bandwidth, jitter) imposed by novel applications (e.g., e-Health, autonomous vehicles, smart cities, etc.), as well as the rapidly increasing number of connected IoT (Internet of Things) devices, the core network is becoming increasingly congested. To cope with those constraints, Edge Co...

Information broadcasting in wireless network is a necessary building block for cooperative operations. However, the broadcasting causes increases the routing overhead. This paper brings together an array of tools of our adaptive protocol for information broadcasting in MANETs. The proposed protocol in this paper named WAODV (WAIT-AODV). This new ad...

Increases in power demand and consumption are very noticeable. This increase presents a number of challenges to the traditional grid systems. Thus, there is the need to come up with a new solution that copes with the stringent demand on energy and provides better power quality, which gives a better experience to the end users. This is how the conce...

The integration of renewable energy sources (RES) was amplified, during the past decades, in order to tackle the challenges related to energy demands and CO2 increases. Recently, many initiatives have been taken by promoting the deployment and the usage of micro-grids (MG) in buildings, as decentralized systems, for energy production. However, the...

The resent infrastructure of the buildings is becoming socio-technical systems that integrate different heterogeneous entities (e.g., sensors, actuators, lighting, HVAC (Heating, Ventilation, and Air Conditioning), occupants, renewable energy, storage systems), which could interact dynamically and in a collective manner to balance between energy ef...

p class="Abstract"> The Merkle-Hellman (MH) cryptosystem is one of the earliest public key cryptosystems, which is introduced by Ralph Merkle and Martin Hellman in 1978 based on an NP-hard problem, known as the subset-sum problem. Furthermore, ant colony optimization (ACO) is one of the most nature-inspired meta-heuristic optimization, which simula...

Recent studies showed that energy consumption in buildings could be efficiently reduced by including recent IoT (Internet of Things) and Big-Data technologies into microgrid systems. In fact, three major aspects could be further considered for reducing energy consumption while maintaining a suitable occupants’ comfort, (i) integrating renewable ene...

The demand for electricity is increased due to the development of the industry, the electrification of transport, the rise of household demand, and the increase in demand for digitally connected devices and air conditioning systems. For that, solutions and actions should be developed for greater consumers of electricity. For instance, MG (Micro-gri...

The world is witnessing unprecedented advancements in ICT (Information & Communication Technology) related fields. These advancements are further boosted with the emergence of big data. It goes without saying that big data requires two major operations: storage and processing. The latter is usually provided through High-Performance Computing (HPC)...

The accurate position of nodes in Wireless Sensor Networks (WSNs) is considered a critical problem in the majority of the Internet of Things (IoT) applications. Recently a large number of contribution in localization have been recommended to determine the location of nodes. However, a number determinated of these techniques have been presented to p...

Localization phase for sensor nodes is considered as the most important service for many applications of IoT. In the last decides, many localization algorithm have been presented to provide location of sensor nodes, but a limited number of these algorithms have been introduced to accurately estimate the location of sensor nodes in the Internet of T...

In this work, a new hybrid cuckoo search and genetic algorithm optimization method using a novel adaptive penalty function was proposed to solve the economic dispatch (ED) problem in smart grid. Please check and confirm the edit made in article title. This method was also paralyzed in order to solve the problem within specific time suitable to solv...

Batteries have shown great potential for being integrated in Micro-Grid (MG) systems. However, their integration is not a trivial task and, therefore, requires extensive modeling and simulations in order to efficiently estimating their State-of-Charge (SoC) within MG systems. The work presented in this article focuses mainly on battery modeling for...

Control approaches for micro-grid (MG) systems are recently developed for efficient energy management in distributed systems. The aim is to increase the integration of renewable energy sources (RES) in buildings while keeping optimal operational conditions of storage devices. However, the variability and the unpredictable behavior of the power prod...

The search for new fuels to supersede fossil fuels has been intensified these recent decades. Among these fuels, hydrogen has attracted much interest due to its advantages, mainly cleanliness and availability. It can be produced from various raw materials (e.g., water, biomass) using many resources, mainly water electrolysis and natural gas reformi...

Green Computing has been the trend among computer scientists for its eco-friendliness. It serves as a great solution to be integrated with Smart Grids (SG). Data stemming from SGs falls under the realm of Big Data as it is voluminous, various, and has a great velocity. Hence, these data need processing and storage. For this, High-Performance Comput...

The integration of Combined Heat and Power (CHP) systems, especially fuel cell systems, into buildings have attracted a lot of interest these last years. It is due to their higher efficiency, cleanliness and their capability for producing both valuable thermal energy and electricity, from a single source of fuel, such as natural gas or hydrogen. Th...

Predicting energy consumption in Smart Buildings (SB), and scheduling it, is crucial for deploying Energy-efficient Management Systems. Most important, this constitutes a key aspect in the promising Smart Grids technology, whereby loads need to be predicted and scheduled in real-time to cope for the strongly coupled variance between energy demand a...

Mobile Ad Hoc Networks are wireless networks, of which the installation does not require any existing infrastructure, this property has induced the philosophy of “all distributed” and distributed control. The departure and arrival of a node is autonomous and does not interfere with the continuity of services. These advantages allow the deployabilit...

In the smart power grid, designing an efficient and reliable communication architecturehas an important role in improving efficiency, and maintaining the connectivity of differentnetwork components. The home area network (HAN) provides an energy managementsystem in houses since it enables home energy control and monitoring. So, it is imperative tod...

Balancing production and demand of energy is the main challenge to integrate renewable energy sources (RES) in micro-grid (MG) systems. However, the variability and the uncertainty nature of the production and the consumption make the system more difficult to control. In fact, weather conditions influence on the production of renewable energy sourc...

Ant colony Optimization is a nature-inspired meta-heuristic optimization algorithm that gained a great interest in resolution of combinatorial and numerical optimization problems in many science and engineering domains. The aim of this work was to investigate the use of Ant Colony Optimization in cryptanalysis of Simplified Advanced Encryption Stan...

MG systems integrate renewable energy sources (RES) together with storage devices for being connected to the traditional electrical grid in order to supply the power to the building’s loads. However, management and control approaches are required for seamless integration of these systems in energy efficient buildings. In this paper, a model predict...

Renewable energy sources integration in micro-grid systems: • Integration, management, and control of renewable energy sources and storage devices • Develop and test predictive algorithms for efficiently controlling and regulating the whole system, especially the interaction between power production, energy storage, and building demands

Micro-grid systems have been recently emerged for efficient integration and management of renewable energy sources, buildings’ equipment (e.g. ventilation; lighting; heating, ventilation, and air conditioning), and energy storage devices. The intermittent nature of the produced electricity from renewable energy sources constitutes, however, the mai...

Micro-Grid (MG) systems have been extensively studied and deployed to lower the power consumption while reducing the greenhouse gas emissions. Although, the challenge with Renewable Energy Sources (RES) is their uncertain and intermittent nature, things that led the researchers to think about integrating storage devices, especially batteries, into...

The major objectives of this work are: 1) to develop new efficient optimization algorithm to solve NP-hard problems, 2) to show the potential of integrating renewable energy technologies for Laayoune region- Morocco taken as case study. In this work, new parallel hybrid Genetic Algorithm-Particle Swarm Optimization algorithm (P-GA-PSO) is developed...

Localisation precision is one of the predominant challenges in static and mobile wireless sensor networks. It is a critical issue to be tackled when developing applications that rely on this type of networks. This paper presents three localisation techniques, named eDV-Hop1, eDV-Hop2, and eDV-Hop3, based on geometry principles. The performance of t...

Ant Colony Optimization is a search meta-heuristic inspired by the foraging behavior of real ant, having a very wide applicability. Especially, it can be applied to different combinatorial optimization problem. In this paper, we present a novel Ant Colony Optimization (ACO) based attack for cryptanalysis of Simplified Data Standard Encryption (S-DE...

This work presents methodology and results used to estimate both wind and solar energies availability and their cost. The objective is to analyze the potential of these two major sources of alternative energy in Tangier region and to show their ability to replace fossil fuel energy sources especially for remote areas and agriculture applications. T...

In most of Wireless Sensor Network (WSN) applications, it is important to associate each event’s information with its location’s information. If sensors are accurately located, the identified event (e.g., fire, accident) could be of most important in order to figure out and understand the context or situation. However, sensors localization is still...

In this paper, we present a novel Ant Colony Optimization (ACO) based attack for cryptanalysis of a simple substitution Cipher. A known only cipher text attack is used to recovering the key based on the letter frequency language, a new algorithm is introduced with a Fitness Function that have a good correlation with the number of key elements recov...

The intermittent nature of renewable energy sources has attracted much interest for integrating storage devices towards the deployment of micro-grid systems. In fact, these devices could be deployed into the system by decoupling energy production from consumption mainly by storing the extra produced energy from RES during the day for eventual usage...

The intermittent nature and overwhelming variability of the produced electricity from renewable energy sources (RES) constitutes the main challenge for their seamless integration into buildings. Recent studies stated that storage devises, despite their actual high cost, could be used to tackle this issue by balancing the intermittent nature of RES...

In this paper Genetic Algorithm method is used to solve Demand Side Management (DSM) and Dynamic Economic Dispatch (DED) problems. This work considers problem (DSM) and (DED) as two complementary stages in the optimization process. Indeed, in this work, instead of considering the total need of all users, the energy consumption profile for each user...

Geographic protocols have been recently developed for data routing in wireless ad hoc networks. These protocols are based on the exact location of each sensor node, by assuming that sensor nodes are equipped with geographic positioning services or localization-based techniques. At each node, the routing decision is based only on the position of the...

Wireless nano sensors networks (WNSN) have emerged recently to allow nanonodes to communicate to each other using nano-communication mechanisms. Nanodevices are characterized by limited resources, and new communication protocols are, therefore, required. For instance, the flooding mechanism has been proposed for broadcasting in electromagnetic-base...

Renewable energy sources (RES) have been largely deployed as green energy producers in order to reduce power consumption while minimizing greenhouse emissions. However, the intermittent nature of RES (e.g., Solar Energy) must be addressed in order to allow their large scale integration in buildings. Standalone PV systems are generally installed in...

In MIGRID project, we envision two main venues: leveraging renewable energy usage and promoting energy-efficient systems. It is meant to leverage these venues via the integration of renewable energy sources into smart buildings and via the promotion of an energy-efficient management system based on “context-awareness” whereby electrical appliances’...

Information broadcasting in MANETs is an essential building block for cooperative operations, group discussions, and common announcements (e.g., filling routing tables). The flooding is the simplest broadcasting scheme used in MANETs. In this scheme, source nodes broadcast at once packets to all neighbors. Broadcasting through flooding causes incre...

This report deals with the LTE downlink transmission scheme, from the base station to the terminal (the mobile phone), which is based on multicarrier modulation: OFDM (Orthogonal Frequency Division Multiplexing). LTE also supports the use of multiple antennas at both the base station and the terminal to improve communication performance: Multiple I...

Electricity demand increases every year and there is a need to improve the existing power grid. Smart Grid concept was developed by Institutes and research agencies to address this need. This new concept can be generally considered as an intelligent power grid system that implements distributed energy. Gathering, coordinating operation and control...

In wireless sensor networks, several localization algorithms have been proposed to accurately locate nodes. These algorithms can be categorized into two main families: range-based and range-free. Algorithms using the range-based technique are mainly based on exact computation of the distance or the angle between two nodes (i.e., transmitter and rec...

Mobile devices have become indispensable tools equipped with different types of sensors that are changing our lifestyles. combined with wireless sensor networks, the information collected will help solve problems that citizens face each day while living together and getting around in public areas. This paper presents our proposal regarding the use...

Nowadays, evacuation problem is critical since it is used in many applications. These applications include sites where masses of people gather such as sporting events, transportation centers, and concerts. A relevant objective is how to consider the mobility of pedestrians in a room in order to improve evacuation times. In this paper, we realistica...

Wireless sensor networks have attracted great interest in the last decade, and have provided solutions in a growing number of applications. The location of sensors is a major issue in these networks. Many localization algorithms have been proposed and can be categorized into two families: range-based and range-free algorithms. In this paper, the lo...