Djamel Khadraoui

A self-organizing content centric network model for hybrid vehicular ad-hoc networks

This paper proposes a novel network architecture based on content routing and dissemination techniques, expressly adapted for hybrid mobile and vehicular ad-hoc networks. Hybrid vehicular ad-hoc networks (VANETs) are a subclass of mobile ad-hoc networks (MANETs) where each node is a moving vehicle equipped with one or more communication devices, potentially having access to several different physical communication channels. This results in a partly decentralized, self-organizing mobile radio network with a fast changing topology. Applications designed for VANETs still require efficient mapping techniques to associate content to the host serving it, as well as centralized databases associating vehicles and mobile nodes to a persistent and unique identifier. They also assume that the content providers are located in the infrastructure, but nodes and vehicles can be equipped with sensors and as such produce information. This means that dissemination and retrieval algorithms have to take into account the distribution of the consumers, providers and forwarder all over the network.n We propose an architecture based on Van Jacobsons Content Centric Networking, extended and modified to solve some of the issues related to content access and dissemination across hybrid VANETs. The implementation and simulation on a realistic platform are presented as well as an application to a real case scenario, demonstrating the efficiency of the approach.

Solving time-dependent multimodal transport problems using a transfer graph model

In this paper we present an hybrid approach for solving the time-dependent multimodal transport problem. This approach has been tested on realistic instances of the problem providing an adequate balance between computation time and memory space. This solution can be applied to real transport networks in order to reduce the impact of traffic congestion on pollution, economy, and citizens welfare. A comparison with two previous approaches are given from theoretical point of view as well as experimental performance.

Improving Resilience of Interdependent Critical Infrastructures via an On-Line Alerting System

This paper illustrates the activities under development within the FP7 EU MICIE project. The project is devotedto design and implement an on-line alerting system, able toevaluate, in real time, the level of risk of interdependent Critical Infrastructures (CIs). Such a risk is generated by undesired events and by the high level of interconnection of the different infrastructures. Heterogeneous models are under development to perform short term predictions of the Quality of Service (QoS) of each CI according to the QoS of the others, to the level of interdependency among the Infrastructures, and according to the undesired events identified in the reference scenario.

Multi-segment Green Light Optimal Speed Advisory

The problem of how to adjust speed of vehicles so that they can arrive at the intersection when the light is green can be solved by means of Green Light Optimal Speed Advisory (GLOSA). The existing GLOSA approaches are single segment, that is, they consider traffic lights independently by providing vehicles with the optimal speed for the segment ahead of the nearest traffic lights. In this article we introduce a new approach-a multi segment GLOSA-according to which several lights in sequence on a vehicles route are taken into account. The speed optimisation process is performed using a genetic algorithm. We assume that a vehicle has access to all traffic light phase schedules that it will encounter on its route. The route is composed of segments divided by traffic lights. The proposed GLOSA provides a driver with speed advisory for each segment according to selected preferences like minimisation of total traveling time or fuel consumption. We demonstrate, that in free-flow conditions such multi-segment GLOSA results in much better results when compared with single-segment approach.

Risk-Based Methodology for Real-Time Security Monitoring of Interdependent Services in Critical Infrastructures

In today’s world, where most of the critical infrastructures (CI) are based on distributed systems, security failures have become very common, even within large corporations. The critical infrastructures are tightly interconnected, mutually dependent, and are exposed everyday to new risks.These (inter)dependencies generate potential cascading effects that may spread a malfunction or an attack from one part of the system to another dependent infrastructure.In this paper, we propose a risk-based methodology that aims to monitor interdependent services based on generic risks and assurance levels using the classical security properties: Confidentiality, Integrity and Availability. This allows each CI owner to monitor, react and adopt the best behavior corresponding to the security status of its different services.

Transfer Graph Approach for Multimodal Transport Problems

Route guidance solutions used to be applied to single transportation mode. The new trend today is to find route guidance approaches able to propose routes which may involve multi transportation modes. Such route guidance solutions are said to be multi modal. This document presents our contribution to multimodal route guidance problem. Following our strategy, we introduce a new graph structure to abstract multimodal networks. The graph structure is called transfer graph. A transfer graph is described by a set of (sub) graphs called components. They are connected via transfer points. By transfer point we mean any node common to two distinct components of a transfer graph. So a transfer graph is distinct from a partitioned graph. An example of transfer graph is a multimodal network in which all participating unimodal networks are not merged, but are kept separated instead. Since a multimodal network is reducible to a transfer graph, transfer graph based approach can be used for multimodal route guidance. Finally, to give meaning to our work, we try to insert our approach with the shortest path service in Carlink project. This step is seen as the implimentation of our algorithm, so we can get an idea on its performance.

Comparison of Green Light Optimal Speed Advisory approaches

Green Light Optimal Speed Advisory (GLOSA) systems provide drivers with speed advices that allow them to pass traffic lights during green interval. In this article we compare performance of single- and multi-segment GLOSA approaches. In a single-segment GLOSA traffic signals are considered independently, i.e. the system provides vehicles with the optimal speed for the segment ahead of the nearest traffic signals. In a multi-segment GLOSA several signals in a sequence on a vehicles route are taken into account, that is, vehicles receive speed advices for a set of segments ahead of the vehicle. Traveling time and fuel efficiency are used as performance measures. We demonstrate that as long as traffic conditions allow drivers selecting a wide range of speed (e.g. during free-flow) a multi-segment GLOSA results in much better performance when compared with a single-segment approach.

Controlling an Interactive Game with a Multi-agent Based Normative Organisational Model

Interactive multimedia applications are whelming to increase realism in their content and scenes with which users interact. To this aim, autonomous agents are increasingly used to implement the objects composing the scene. Although autonomy brings flexibility and realism in the animation, it has to be controlled in order to conform to the global behaviour targeted by the designer of the application. Multi-agent based organisational models are good candidates to specify rights and duties of agents with respect to the intended behaviour. In this paper we present

The emerging applications of intelligent vehicular networks for traffic efficiency

mathcal{M}textsc{oise}^{Inst}

Taxonomy of quality metrics for assessing assurance of security correctness

, a meta-model aiming at representing normative organisations of agents according to four points of view: structural, functional, contextual and normative. We show how this model is suited to control an application of interactive TV game show where avatars are based on agents.