Thierry GAYRAUD | Université Paul Sabatier de Toulouse (original) (raw)
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Papers by Thierry GAYRAUD
HAL (Le Centre pour la Communication Scientifique Directe), Aug 1, 2010
HAL (Le Centre pour la Communication Scientifique Directe), Dec 1, 2005
HAL (Le Centre pour la Communication Scientifique Directe), Nov 10, 2013
Sciyo eBooks, Aug 18, 2010
Thanks to technological advances in information and communications, Unmanned Aerial Vehicles (UAV... more Thanks to technological advances in information and communications, Unmanned Aerial Vehicles (UAVs) (aka drones) technology has become one of the most important service delivery inventions these days. Equipped with sensors and cameras, these technologies can perform much on-demand critical application ranging from military and environmental to rescue operations. These UAVs devices, sometimes tiny, that can replace human and manned aircraft in several tasks, have been utilized to perform various types of services and applications more efciently. However, the deployment side of such emerging technology is still facing many issues and challenges. Using multi-drones or swarm of drones, together to accomplish one operation is one of these recent challenges. Such a system requires a high level of delicacy and cooperation to achieve the required autonomy and reduce human interaction as possible. Communication is one of the biggest challenges in these systems, since the devices should keep exchanging various types of messages with different Quality of Service (QoS) requirements. In this paper, a collaborative autonomous system of swarm drones based on deep learning has been proposed and a testbed of cooperative UAVs' mission to validate the performance of the dedicated QoS communication system using Paparazzi drones The proposed system is aware of the drones' requirements in term of QoS and able to meet with their dynamic demands.
Computer Communications, Sep 1, 2019
HAL (Le Centre pour la Communication Scientifique Directe), Oct 12, 2009
HAL (Le Centre pour la Communication Scientifique Directe), Oct 1, 2006
2017 IEEE Symposium on Computers and Communications (ISCC), 2017
2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017
Unlike other networks, WSNs have the particular characteristic of collecting sensed data and forw... more Unlike other networks, WSNs have the particular characteristic of collecting sensed data and forwarding it to the gateway through a one-way communication protocol. In such data-driven networks, it may seem spontaneous to argue to content-centric networking communication architecture. Through exploiting DFCCN-WSNs implemented previously, we focus on two approaches concerning content update in CCN for Wireless Sensor Networks. Techniques used for content update are either reactive or proactive. In addition, our approaches support multi-user scenarios in order to decrease the propagation of the content object in the network. Through extensive simulations, we demonstrate that the two approaches outperforms traditional CCN in terms of end-to-end delay and energy consumption.
Livrable 1.2 Architecture preliminaire et algorithmes pour le cas d'applications dynamiques e... more Livrable 1.2 Architecture preliminaire et algorithmes pour le cas d'applications dynamiques en environnement maitrise
Réseaux Télécommunications, 2015
Electronics, 2019
Currently, one of the main challenges that large metropolitan areas must face is traffic congesti... more Currently, one of the main challenges that large metropolitan areas must face is traffic congestion. To address this problem, it becomes necessary to implement an efficient solution to control traffic that generates benefits for citizens, such as reducing vehicle journey times and, consequently, environmental pollution. By properly analyzing traffic demand, it is possible to predict future traffic conditions, using this information for the optimization of the routes taken by vehicles. Such an approach becomes especially effective if applied in the context of autonomous vehicles, which have a more predictable behavior, thus enabling city management entities to mitigate the effects of traffic congestion and pollution, thereby improving the traffic flow in a city in a fully centralized manner. This paper represents a step forward towards this novel traffic management paradigm by proposing a route server capable of handling all the traffic in a city, and balancing traffic flows by accou...
Berthou/Satellite and Terrestrial Hybrid Networks, 2015
HAL (Le Centre pour la Communication Scientifique Directe), Aug 1, 2010
HAL (Le Centre pour la Communication Scientifique Directe), Dec 1, 2005
HAL (Le Centre pour la Communication Scientifique Directe), Nov 10, 2013
Sciyo eBooks, Aug 18, 2010
Thanks to technological advances in information and communications, Unmanned Aerial Vehicles (UAV... more Thanks to technological advances in information and communications, Unmanned Aerial Vehicles (UAVs) (aka drones) technology has become one of the most important service delivery inventions these days. Equipped with sensors and cameras, these technologies can perform much on-demand critical application ranging from military and environmental to rescue operations. These UAVs devices, sometimes tiny, that can replace human and manned aircraft in several tasks, have been utilized to perform various types of services and applications more efciently. However, the deployment side of such emerging technology is still facing many issues and challenges. Using multi-drones or swarm of drones, together to accomplish one operation is one of these recent challenges. Such a system requires a high level of delicacy and cooperation to achieve the required autonomy and reduce human interaction as possible. Communication is one of the biggest challenges in these systems, since the devices should keep exchanging various types of messages with different Quality of Service (QoS) requirements. In this paper, a collaborative autonomous system of swarm drones based on deep learning has been proposed and a testbed of cooperative UAVs' mission to validate the performance of the dedicated QoS communication system using Paparazzi drones The proposed system is aware of the drones' requirements in term of QoS and able to meet with their dynamic demands.
Computer Communications, Sep 1, 2019
HAL (Le Centre pour la Communication Scientifique Directe), Oct 12, 2009
HAL (Le Centre pour la Communication Scientifique Directe), Oct 1, 2006
2017 IEEE Symposium on Computers and Communications (ISCC), 2017
2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC), 2017
Unlike other networks, WSNs have the particular characteristic of collecting sensed data and forw... more Unlike other networks, WSNs have the particular characteristic of collecting sensed data and forwarding it to the gateway through a one-way communication protocol. In such data-driven networks, it may seem spontaneous to argue to content-centric networking communication architecture. Through exploiting DFCCN-WSNs implemented previously, we focus on two approaches concerning content update in CCN for Wireless Sensor Networks. Techniques used for content update are either reactive or proactive. In addition, our approaches support multi-user scenarios in order to decrease the propagation of the content object in the network. Through extensive simulations, we demonstrate that the two approaches outperforms traditional CCN in terms of end-to-end delay and energy consumption.
Livrable 1.2 Architecture preliminaire et algorithmes pour le cas d'applications dynamiques e... more Livrable 1.2 Architecture preliminaire et algorithmes pour le cas d'applications dynamiques en environnement maitrise
Réseaux Télécommunications, 2015
Electronics, 2019
Currently, one of the main challenges that large metropolitan areas must face is traffic congesti... more Currently, one of the main challenges that large metropolitan areas must face is traffic congestion. To address this problem, it becomes necessary to implement an efficient solution to control traffic that generates benefits for citizens, such as reducing vehicle journey times and, consequently, environmental pollution. By properly analyzing traffic demand, it is possible to predict future traffic conditions, using this information for the optimization of the routes taken by vehicles. Such an approach becomes especially effective if applied in the context of autonomous vehicles, which have a more predictable behavior, thus enabling city management entities to mitigate the effects of traffic congestion and pollution, thereby improving the traffic flow in a city in a fully centralized manner. This paper represents a step forward towards this novel traffic management paradigm by proposing a route server capable of handling all the traffic in a city, and balancing traffic flows by accou...
Berthou/Satellite and Terrestrial Hybrid Networks, 2015