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Abderrahmen Belfkih

Bio: Abderrahmen Belfkih is an academic researcher from Centre national de la recherche scientifique. The author has contributed to research in topics: Wireless sensor network & Port (computer networking). The author has an hindex of 4, co-authored 7 publications receiving 35 citations. Previous affiliations of Abderrahmen Belfkih include Intelligence and National Security Alliance & University of Le Havre.

Papers
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Proceedings ArticleDOI
28 Jun 2018
TL;DR: The smart port concept as the last generation of traditional ports reinforced with technologies such as Internet of Things (IoT) and proposed an architecture for the smart port and discusses its different levels as well as its challenges.
Abstract: A seaport is a dynamic environment which plays a crucial role in the global economy. It includes various activities such as transportation, logistic, fishing, rescue operations and protection of the environment against its destructive impacts that make tremendous challenges. In this paper, we investigate the smart port concept as the last generation of traditional ports reinforced with technologies such as Internet of Things (IoT). We propose an architecture for the smart port and discuss its different levels as well as its challenges. In addition, we introduce CLASSE project which is a step forward in making the port of Le Havre smart. The project utilizes Automatic Identification System (AIS) data as its main data source. Finally, we present some AIS analyses which could be the use cases and services of a smart port. These analyses show how the port is operating.

26 citations

Journal ArticleDOI
TL;DR: The definition of sensor databases is provided, then their architecture and their characteristics are presented, and existing sensor database systems in WSNs are studied.
Abstract: In recent years, the use of wireless sensors has increased drastically in most fields. Wireless Sensor Networks (WSNs) have attracted the interest of industries and they have been used in several application areas (military, health, transportation, agriculture). WSNs are ad-hoc networks, composed of sensor nodes, which are deployed in an area of interest, in order to monitor and to return information requested by users. Sensor data is transmitted to users over a central station, named base station. Data collection becomes more difficult when the number of sensors increases. Since about a decade, intensive research has started in order to deal with these problems. Many researchers suggested to structure the sensor data in the form of a database and reduce the number of communications and energy consumption in the network. They have often considered the network as a large database and the sensor node as a virtual table. In this article, the existing sensor database approaches in WSNs are studied. Firstly, we will provide the definition of sensor databases, then we will present their architecture and their characteristics. Thereafter, we will present and compare existing sensor database systems. Finally, we will conclude this paper with a discussion of some research issues in the field of sensor databases.

20 citations

Proceedings ArticleDOI
07 Apr 2015
TL;DR: A new query processing mechanism is proposed, giving each node the possibility to control the temporal validity of data in order to reduce the amount of invalid data delivered by WSN and introducing new SQL clauses that allows the user setting the data validity interval and assigning a deadline to each query.
Abstract: Maintaining data temporal consistency in a Wireless Sensor Network (WSN) has attracted the attention of many researchers. Nowadays, there are many applications based on WSN which require consistent and valid measures to reflect the current state of the environment being monitored, or to quickly respond to some critical situations. In this paper, we propose a new query processing mechanism, giving each node the possibility to control the temporal validity of data in order to reduce the amount of invalid data delivered by WSN. We also provide a new query model, by introducing new SQL clauses, that allows the user setting the data validity interval and assigning a deadline to each query. Finally, we discuss the performances of our query processing approach and its capacity to maintain the data temporal consistency through two scenarios. The first scenario consists of injecting a single query in the network, then receiving periodic responses from sensors, during a period set by the user. In the second scenario, the user sends periodic queries to sensors according to an epoch, thereafter, it waits for query responses. We concluded by discussing the ability of network to maintain the data temporal consistency, based on the average of query responses time and the amount of valid data transmitted across the network.

5 citations

Book ChapterDOI
20 Sep 2017
TL;DR: This paper proposes a new model for Real-Time Query Processing System (RTQPS) in order to guarantee temporal constraints in WSN, based on the QPS architecture, including some components of real-time database management system (DBMS).
Abstract: Wireless Sensor Networks (WSN) are considered as a large distributed database, which can be queried using SQL-like language. Several Query Processing Systems (QPS) have been proposed, to extract data from WSN. Many WSN-based applications require fresh data and strict deadlines when they receive responses from the WSN. However, the QPS are not dedicated to ensure the temporal constraints like the temporal validity of data and the queries deadlines. In this paper, we propose a new model for Real-Time Query Processing System (RTQPS) in order to guarantee temporal constraints in WSN. Our system is based on the QPS architecture, including some components of real-time database management system (DBMS). RTQPS ensures efficient query dissemination and data collection. It provides deadline controllers to ensure real-time constraints and real-time schedulers to meet query deadlines. We have carried out many simulations in order to validate our approach.

4 citations

Proceedings ArticleDOI
01 Apr 2018
TL;DR: The objective of this model is to define an optimal berth allocation planning of feeder vessels, which minimizes the waiting time of ships (both feeder and mother vessels) in Le Havre sea port.
Abstract: The maritime port logistical performances remains a challenge for the socio-economic development. It is related to different activities in the port. The feeder vessel management problem is one of the different problems in maritime port. In this work, we present the feeder vessel management problem and the related works in the literature. In particular, we study the case of Le Havre sea port. We present the steps to resolve the feeder vessel management problem, based on an analysis of the activities in this port. The steps include the proposition of a model for improving the feeder vessel management. The objective of this model is to define an optimal berth allocation planning of feeder vessels, which minimizes the waiting time of ships (both feeder and mother vessels) in Le Havre sea port.

2 citations


Cited by
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Journal ArticleDOI
TL;DR: This study implicates marine policy formulation in relation to subsidies and investments, blockchain talent and knowledge acquisition, and workforce training and education to accelerate blockchain implementation in the maritime industry.

68 citations

Journal ArticleDOI
TL;DR: This article aims to offer a review of the research literature on smart ports, including Internet of Things platform, greenhouse gases emission reduction, energy efficiency enhancement, and so on, to establish a foundation of existing research conducted onsmart ports in order to motivate new research interests in this area.
Abstract: In this digital age, ports face stiff competition in global supply chain. Smart ports, as high performing ports, utilize information and communications technology (ICT) to provide a wide range of smart applications, resulting in vastly improved vessels and container management among others, which subsequently improve the competitiveness and sustainability of the national economy. While various novel solutions, such as information system and locating system, have been proposed to improve smart port activities, there are several key issues pertaining to ports and port operations that warrant specific attention, particularly greenhouse gases emission, which has accelerated to an alarming level. The urgent need to address such issues is lacking. This article aims to offer a review of the research literature on smart ports, including Internet of Things platform, greenhouse gases emission reduction, energy efficiency enhancement, and so on. The objective is to establish a foundation of existing research conducted on smart ports in order to motivate new research interests in this area. Open issues are also presented to foster new research initiatives on smart ports.

64 citations

Book ChapterDOI
01 Jan 2021
TL;DR: In this paper, the authors proposed an architecture of an intelligent IoMT healthcare system for monitoring patients' health using a wearable body sensor network, which used ensemble tree-based learning to disclose patterns and knowledge on patient health condition and its possible preventions.
Abstract: The Internet of Medical Things (IoMT) is the gathering and implementation of healthcare tools connected to public healthcare technology infrastructure via Internet-based communications systems. Medical devices with wireless fidelity allow machine-to-machine interaction which is the basis of IoMT. The smart use of resources allowed by the IoMT has raised the prospects of both the technical and consumer communities. The IoMT healthcare system turns everyday physical objects, medical devices that surround us into a smart entrenched healthcare system. It is well known that an effective healthcare monitoring system can detect health conditions abnormalities in time and make diagnoses using wearable body sensors network. Despite significant progress within the monitoring device industry, there is still limited widespread integration of wearable body sensors network into medical practice. However, the design of an IoMT healthcare system, such as security, authentication, and data exchange, presents many challenges. Therefore, this chapter proposes an architecture of an intelligent IoMT healthcare system for monitoring patients’ health using a wearable body sensor network. The system will use ensemble tree-based learning to disclose patterns and knowledge on patient health condition and its possible preventions. The proposed method advises and alerts medical personnel in real-time about the changing of the health condition of patients to suggest preventive measures in saving lives. The integration of the IoMT-based wearable body sensors network shows improvement in patients’ health conditions.

42 citations

Journal ArticleDOI
TL;DR: In this article, the state-of-the-art on the modern electrification and infrastructure of seaports taking into account some challenges such as the environmental aspects, energy efficiency enhancement, renewable energy integration, and legislative and regulatory requirements is presented.
Abstract: Recently, the application of renewable energy sources (RESs) for power distribution systems is growing immensely. This advancement brings several advantages, such as energy sustainability and reliability, easier maintenance, cost-effective energy sources, and ecofriendly. The application of RESs in maritime systems such as port microgrids massively improves energy efficiency and reduces the utilization of fossil fuels, which is a serious threat to the environment. Accordingly, ports are receiving several initiatives to improve their energy efficiency by deploying different types of RESs based on the power electronic converters. This paper conducts a systematic review to provide cutting-edge state-of-the-art on the modern electrification and infrastructure of seaports taking into account some challenges such as the environmental aspects, energy efficiency enhancement, renewable energy integration, and legislative and regulatory requirements. Moreover, the technological methods, including electrifications, digitalization, onshore power supply applications, and energy storage systems of ports, are addressed. Furthermore, details of some operational strategies such as energy-aware operations and peak-shaving are delivered. Besides, the infrastructure scheme to enhance the energy efficiency of modern ports, including port microgrids and seaport smart microgrids are delivered. Finally, the applications of nascent technologies in seaports are presented.

35 citations