Claude Duvallet

Bio: Claude Duvallet is an academic researcher from University of Le Havre. The author has contributed to research in topics: Wireless sensor network & Quality of service. The author has an hindex of 9, co-authored 54 publications receiving 250 citations. Previous affiliations of Claude Duvallet include Intelligence and National Security Alliance.

Cluster‐based emergency message dissemination strategy for VANET using V2V communication

Abstract: Data dissemination in vehicular ad hoc network (VANET) is emerging as a critical area of research. One of the challenges posed by this domain is the reliability of connection, which depends on many parameters, such as the bandwidth consumption, transmission delay, and data quality of service (QoS). Dissemination of emergency messages is very critical since the network topology is changing frequently and rapidly, which leads to data loss. So, it is necessary to develop new protocols and enhance dissemination schemes in VANET to avoid more emergencies and hazards cases. In this regard, we have proposed a new strategy, which consists of data handling before dissemination process as the first step of our scheme. In this phase, the original message is optimized in order to reduce the number of exchanged packets. The second part of this proposition consists of constructing fast and stable clusters to improve the message delivery time and to procure efficient bandwidth consumption. This approach is based on a Fitness function, which takes into account different parameters such as the transmission period, the connectivity degree, the relative velocity, and the link lifetime validity. Since exchanging data in VANET is an important process, routing phase is proposed to perform data exchange among clusters. It is based on a rapid and real‐time heuristic (real‐time adaptive A* [RTAA*]). To evaluate the reliability of the proposed approach, an urban scenario is used with different simulation parameters. The simulation results show that our proposed approach presents a better stability and efficiency performance compared with the discussed approaches. The proposed approach improves the performance of cluster duration (5% − 25%), delivery rate (2% − 8%), and the overhead (5% − 35%) on average compared with the discussed approaches.

Towards Smart Port: An Application of AIS Data

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.

Structural Model of Real-Time Databases: An Illustration

Abstract: A real-time database is a database in which both the data and the operations upon the data may have timing constraints. The design of this kind of database requires the introduction of new concepts to modelize both data structures and the dynamic behavior of the database. In this paper, we propose an UML2.0 profile, entitled UML-RTDB, allowing the design of structural model for a real-time database. One of the main advantages of UML-RTDB is its capacity to take into account real-time database properties through specialized concepts in rigourous, easy and expressive manner.

A framework to model real-time databases

Abstract: Real-time databases deal with time-constrained data and time-constrained transactions The design of this kind of databases requires the introduction of new concepts to support both data structures and the dynamic behaviour of the database In this paper, we give an overview about different aspects of real-time databases and we clarify requirements of their modelling Then, we present a framework for real-time database design and describe its fundamental operations A case study demonstrates the validity of the structural model and illustrates SQL queries and Java code generated from the classes of the model

A survey on wireless sensor network databases

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.

The Object Constraint Language (OCL)

Abstract: This chapter provides an introduction to using the Object Constraint Language (OCL) in composing UML models. Our goal in this chapter is to gain an introductory understanding of how to use the OCL.

Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology

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.