Publications

  • 2016
    Samira Harrabi, Ines ben Jaafar, Khaled ghedira

    Routing Challenges and Solutions in Vehicular Ad hoc Networks

    Sensors and Transducer journal, 2016

    Abstract

    Vehicular Ad-hoc Networks (VANETs) are known as a special type of Mobile Ad-hoc Networks (MANETs) specialized in vehicular communications. These networks are based on smart vehicles and basestations, which share data by means of wireless communications. To route these information, a routing protocol is required. Since the VANETs have a particular network features as rapidly changeable topology, designing an efficient routing scheme is a very hard task. In this paper, we mainly focus on surveying new routing protocols dedicated to VANETs. We present unicast, multicast and broadcast protocols. The experimental results are discussed to evaluate the performance of the presented methods.

    Samira Harrabi, Ines Ben Jaafar, Khaled Ghedira

    VANETs Networking Protocols : An Analytical study

    The Tenth International Conference on Sensor Technologies and Applications ( SENSORCOMM 2016), 2016

    Abstract

    Vehicular Ad hoc NETworks (VANETs) are considered as a class of Mobile Ad hoc NETworks (MANETs). The VANETs are a set of vehicles that are capable of exchanging data dynamically and without needing any pre-existing and fixed network infrastructure. Each node sends and receives messages in its communication area. Thus, message routing is done through a routing protocol. Despite the fact that the VANETs are a subgroup of the MANETs, they possess exceptional network behaviors like high mobility and dynamic topology, which make the MANETs routing protocols unsuitable for the VANETs. This paper summarizes the different protocols used for routing in the VANETs that focuses on a vehicle-to-vehicle communication. Utilizing an OMNET++ simulator, the experimental results are discussed to compare the presented routing protocol categories.

    Samira Harrabi, Ines ben jaafar, Khaled ghedira

    Novel Optimized Routing Scheme for VANETs »

    The 7th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (Elsevier, EUSPN-2016), 2016

    Abstract

    The Vehicular ad -hoc networks (VANETs) are a specific type of Mobile ad-hoc networks (MANETs). However, the main problem related to it is the potential high speed of moving vehicles. This special property causes frequent changing in network topology and instability of communication routes. Consequently, some of the challenges that researchers focus on are routing protocols for VANETs. They have proved that the existing MANET proactive routing protocols are the most used for vehicular communication. Yet, they are not as adequate as they are for VANETs. The main problem with these protocols in dynamic environment is their route instability. This paper combines multi-agent system approach and PSO algorithm to solve the above mentioned problems. We carried out a set of simulations tests to evaluate the performance of our scheme. The simulation part shows promising results regarding the adoption of the proposed scheme.

    Samira Harrabi, nes Ben jaafar, Khaled Ghedira

    An Enhanced AODV Routing Protocol for Vehicular Adhoc Networks

    International conference on Big Data and Advanced Wireless technologies (ACM,BDAW 2016), 2016

    Abstract

    The key difference of Vehicular Ad- hoc Network (VANET) and Mobile Ad-hoc Network (MANET) is the exceptional mobility pattern and quick variability variable of network topology. The existing MANET routing protocols are inadequate for the VANET. One good manner of data sending in vehicular environment is to enhance the MANET routing protocols and make them appropriate for the VANET. Ad-hoc On-demand Distance Vector (AODV) is one of the most important MANET reactive protocols. Nevertheless, once we have to deal with a VANET, its performance is poor. In this paper, we propose an enhancing the AODV routing protocol based on agent technology to improve the Quality of Service (QoS) in VANET. The experimental results show that our approach outperforms the AODV protocol in terms of routing overhead, dropped packets rate and transfer packets delay.

    Maha Elarbi, Slim Bechikh, Lamjed Ben Said, Rituparna Datta

    Multi-objective optimization: classical and evolutionary approaches

    In Recent advances in evolutionary multi-objective optimization (pp. 1-30). Cham: Springer International Publishing, 2016

    Abstract

    Problems involving multiple conflicting objectives arise in most real world optimization problems. Evolutionary Algorithms (EAs) have gained a wide interest and success in solving problems of this nature for two main reasons: (1) EAs allow finding several members of the Pareto optimal set in a single run of the algorithm and (2) EAs are less susceptible to the shape of the Pareto front. Thus, Multi-objective EAs (MOEAs) have often been used to solve Multi-objective Problems (MOPs). This chapter aims to summarize the efforts of various researchers algorithmic processes for MOEAs in an attempt to provide a review of the use and the evolution of the field. Hence, some basic concepts and a summary of the main MOEAs are provided. We also propose a classification of the existing MOEAs in order to encourage researchers to continue shaping the field. Furthermore, we suggest a classification of the most popular performance indicators that have been used to evaluate the performance of MOEAs.

    Saoussen Bel Haj Kacem, Amel Borgi, Sami Othman

    A diagnosis aid system of autism in a multi-valued framework

    Uncertainty Modelling in Knowledge Engineering and Decision Making. September 2016, 405-410, 2016

    Abstract

    We introduce in this paper a tool for the diagnosis of autism called DASAutism. For this, we use our knowledge-based system shell RAMOLI. This system handles knowledge in the multi-valued context. Moreover, its inference engine executes an approximate reasoning based on linguistic modifiers that we have introduced in a previous work. We have built a knowledge base that represents the domain expertise, in collaboration with the child psychiatry department of Razi hospital.

    Islem Henane, Sameh Hadouaj, Khaled Ghédira, Ali Ferchichi

    Modeling Organizational and Institutional Aspects in Renewable and Natural Resources Management Context

    In: Baldoni, M., Chopra, A., Son, T., Hirayama, K., Torroni, P. (eds) PRIMA 2016: Principles and Practice of Multi-Agent Systems. PRIMA 2016. Lecture Notes in Computer Science(), vol 9862. Springer, Cham, 2016

    Abstract

    Since 1990, there has been a striking increase in using multi-agent systems to study renewable resources management systems. The ultimate objective is to contribute to decisions support on resources management. The adopted strategic decisions are always joined with access to resources norms. However, the defined norms are statics and suppose that all agents are not autonomous and always obey to the underlying norms which do not reflect reality. In previous work, we proposed ML-MA , a multi-level multi-agent architecture to support renewable resources management systems modeling. In this work, we focus on the integration of normative aspects in our architecture. Our approach is illustrated using “Ouled Chehida” case study from Tunisian pastoral context.

  • Hanen Lejmi, Lamjed Ben Said, Fahem Kebaier

    Agent-based modeling and simulation of the emotional experiences of employees within organizations

    Agent-based modeling and simulation of the emotional experiences of employees within organizations, 2015

    Abstract

    In line with the multi-disciplinary growing interest in emotions and the scientific proof of their usefulness for taking decisions, scholars, in agent-oriented systems, start to account for emotions when building upon intelligence and realism in rational agents. As a result, several computational models of emotions were developed and new architectures for emotional artificial agents were proposed, in particular the Emotional Belief Desire Intention (EBDI) agents. In this paper, we provide a comprehensive description of two computational models which are used to generate immediate and expected emotions. These models will be incorporated within an EBDI agent architecture that takes into consideration these two types of emotions.

    Rahma Dhaouadi, Achraf Ben Miled, Khaled Ghédira

    Agent based modeling and simulation for events hybrid recommendation: application to the handicraft domain

    In the 17th International Conference on Information Integration and Web-based Applications & Services, iiWAS, 11-13 December. Brussels-Belgium, 2015

    Abstract

    Recommending personalized events from the huge amount of information on the social web is a challenging problem. Besides, dealing with such recommendation improves significantly the professional communities activities. Likewise, it helps them to make appropriate decisions while saving time and efforts. In this paper, we propose a hybrid recommender system which suggests suitable events to the HanDicraft Women (HDWs) from Tunisia and Algeria. The established system considers the final user needs and demographic attributes. Indeed, it combines the knowledge-based and demographic approaches together. Useful information related to the HDWs and available events are represented through a semantic formalization : Friend Of A Friend (FOAF) Ontoloy and Online presence Ontology (OPO). Moreover, the recommender is able to manage the dynamicity and heterogeneity of the HDWs environments since it is based on a multi-agent architecture.

    Rahma Dhaouadi, Kais Ben Salah, Achraf Ben Miled, Khaled Ghédira

    Ontology based Multi-Agent System for the Handicraft Domain E-Bartering

    In the 28th Bled eConference BECC, 07-10 June. Bled-Slovenia, 2015

    Abstract

    The online supply requirement management within a heterogonous environment represents a real challenge. While the traditional e-purchase is widely adopted, the e-barter seems to be an ambitious alternative. It is mainly solicited when suppliers might be unavailable or the delivery timeouts are important. Moreover, it reinforces the communication between the producer and his professional network. In this paper, we propose an emulation of the handicraft women e-procurement process based on the power of multi-agent paradigm and ontology formalism. Indeed, we establish an e-barter framework which targets to recommend in real time, under different circumstances and regarding the handicraft woman situation the suitable exchange partners. Likewise, we established several producing rules in order to deduce automatically the best sourcing moment. Furthermore, the handicraft woman which is the decision maker might drive an e-barter auction (e-BA) process in order to choose the best exchange opportunities and then minimize her expenses. We consider the e-BA as a new concept merging the barter and auction notions.