References of "Montavont, Nicolas"
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See detailHandover triggering in IEEE 802.11 Networks
Montavont, Nicolas; Blanc, Alberto; Navas, Renzo et al

in 16th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (2015, June 14)

The current and future IEEE 802.11 deployment could potentially offer wireless Internet connectivity to mobile users. The limited AP radio coverage forces mobile devices to perform frequent handovers ... [more ▼]

The current and future IEEE 802.11 deployment could potentially offer wireless Internet connectivity to mobile users. The limited AP radio coverage forces mobile devices to perform frequent handovers while current operating systems lack efficient mechanisms to manage AP transition. Thus we propose an anticipation-based handover solution that uses a Kalman filter to predict the short term evolution of the received power. This mechanism allows a mobile device to proactively start scanning and executing a handover as soon as better APs are available. We implement our mechanism in Android and we show that our solution provides a better wireless connection. [less ▲]

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See detailAccelerating short transfers in 802.11 networks
Arcia-Moret, Andres; Montavont, Nicolas; Castignani, German UL

Poster (2013, November 14)

The legacy bandwidth discovery phase of TCP spends an unnecessary number of RTTs for reaching the fair share of the network. In this article we introduce a simple modification at the receiver that splits ... [more ▼]

The legacy bandwidth discovery phase of TCP spends an unnecessary number of RTTs for reaching the fair share of the network. In this article we introduce a simple modification at the receiver that splits the TCP ACKs in a controlled manner. This mechanism allows to fast ramp-up the TCP congestion window. Our experiments performed in a real testbed show benefits not only in the increased data throughput but also in a non-congested uplink (Acknowledgement) path in an 802.11 access. [less ▲]

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See detailA Study of Urban IEEE 802.11 Hotspot Networks: Towards a Community Access Network
Castignani, German UL; Monetti, Juan; Montavont, Nicolas et al

in A Study of Urban IEEE 802.11 Hotspot Networks: Towards a Community Access Network (2013, November 13)

With the increasing demand for faster data connectivity, different wireless technologies have been deployed in the last decade, creating a heterogeneous wireless environment. Such wireless diversity is ... [more ▼]

With the increasing demand for faster data connectivity, different wireless technologies have been deployed in the last decade, creating a heterogeneous wireless environment. Such wireless diversity is mainly composed of 2G/3G/4G cellular base stations, IEEE 802.11 hotspots and Community Networks. Previous work suggests that the increasing popularity of IEEE 802.11 networks would mitigate the overloading of current operator-based cellular deployments. However, the unpredictable characteristics of IEEE 802.11 deployments and its loose coupling to cellular architectures limit its user performance in terms of throughput and mobility capacity. In this paper, we describe an evaluation study of a commercial-grade hotspot network in the city of Luxembourg, namely HOTCITY. Through a set of experiments, we provide a characterization of the hotspot network and give a set of performance indicators. Finally, we evaluate hotspot networks' potential to support cellular offloading through the integration of outdoor hotspots and private access points deployed indoors in a single Community Network. [less ▲]

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See detailOn the Selection of Scanning Parameters in IEEE 802.11 Networks
Montavont, Nicolas; Arcia-Moret, Andres; Castignani, German UL

in On the Selection of Scanning Parameters in IEEE 802.11 Networks (2013, September)

In this paper, we study the IEEE 802.11 discovery process needed for handovers and propose an adaptive scanning strategy based on application requirements. The scanning process consists in actively ... [more ▼]

In this paper, we study the IEEE 802.11 discovery process needed for handovers and propose an adaptive scanning strategy based on application requirements. The scanning process consists in actively probing the radio channels to gather access points information. We consider a well decoupled situation in which the scanning latency, the scanning failure rate and the number of discovered access points define the scanning performance. We model these scanning metrics by analytical expressions to represent the performance trade-off, i.e., finding the largest number of access points with a minimum latency. We present a novel approach based on a multi-objective optimization approach to obtain the optimal number of channels to scan, the optimal channel sequence and its correspondent scanning timers. Finally, we compare one fixed and two adaptive scanning approaches by means of simulations. We show that our adaptive scanning strategies better manage the performance trade-off and allow different application profiles to match with specific scanning latency. [less ▲]

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See detailMulti-objective Optimization Model for Network Selection in Multihomed Devices
Castignani, German UL; Montavont, Nicolas; Andres, Arcia-Moret

in Wireless On-demand Network Systems and Services (WONS), 2013 10th Annual Conference on , vol., no., pp.113,115, 18-20 March 2013 (2013, March)

Nowadays, the increasing diversity of wireless technologies opens the possibility for a mobile device to exploit the aggregated capacity of multiple wireless networks. This aggregated capacity gives ... [more ▼]

Nowadays, the increasing diversity of wireless technologies opens the possibility for a mobile device to exploit the aggregated capacity of multiple wireless networks. This aggregated capacity gives different possible assignations of on-going flows to the available interfaces. The most suitable configuration may depend on user-imposed restrictions, applications QoS or energy constraints. In this paper, we study the flow-to-interface assignation problem considering bandwidth and energy constraints for running applications. We model the network selection as a multi-objective optimization problem and use genetic algorithms to search for optimal solutions. Using simulation, we show and discuss different optimal assignations for an active device whose number of flows is greater than the available interfaces. [less ▲]

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