43documents trouvés
When should I use network emulation?
E.LOCHIN, T.PERENNOU, L.DAIRAINE
SARA
Revue Scientifique : Annals of Telecommunications, Vol.67, N°5-6, pp.247-255, Juin 2012 , N° 12040
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128956Exploiting opportunistic interactions for localization in heterogeneous wireless systems
F.ZORZI, A.BARDELLA, T.PERENNOU, G. KANG, A.ZANELLA, F.SOTTILE
OLC, ISAE, ISMB, University of Padova
Manifestation avec acte : Joint Workshop on Wireless Communication (JNCW 2011), Paris (France), 1-2 Mars 2011, 6p. , N° 11010
Lien : http://hal.archives-ouvertes.fr/hal-00561366/fr/
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Abstract
This paper addresses the problem of localization in mobile networks. Our goal is to make localization possible even for off-the-shelf communication devices like smartphones or sensor nodes, not equipped with GPS or operating in areas where the GPS does not work well. In our approach, a user estimates its position by exploiting opportunistic exchanges with other devices (peer devices). The localization information provided by peers include their own position estimation and can be used even though it may be highly inaccurate. In a heterogeneous setup, peers can provide different ranging technologies (e.g. RSSI and UWB). We investigate the performance of two existing localization algorithms based on Weighted Centroid (WC) and Linear Matrix Inequalities (LMI) under different conditions of accuracy and heterogeneity. The study is performed by means of simulations that, however, make use of realistic ranging models, derived from an extensive set of RSSI and UWB measurements. The simulation results show that in most cases LMI provides a better user position estimation than WC, with an error of 1 to 4 meters for 10 opportunistic interactions, and that heterogeneity of peer positioning accuracy has a limited but positive impact on the localization performance.
Emulating opportunistic networks with KauNet triggers
T.PERENNOU, A.BRUNSTROM, T.HALL, J.GARCIA, P.HURTIG
OLC, Karlstad
Rapport LAAS N°10747, Décembre 2010, 13p.
Lien : http://hal.archives-ouvertes.fr/hal-00536396/fr/
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In opportunistic networks the availability of an end-to-end path is no longer required. Instead opportunistic networks may take advantage of temporary connectivity opportunities. Opportunistic networks present a demanding environment for network emulation as the traditional emulation setup, where application/transport endpoints only send and receive packets from the network following a black box approach, is no longer applicable. Opportunistic networking protocols and applications additionally need to react to the dynamics of the underlying network beyond what is conveyed through the exchange of packets. In order to support IP-level emulation evaluations of applications and protocols that react to lower layer events, we have proposed the use of emulation triggers. Emulation triggers can emulate arbitrary cross-layer feedback and can be synchronized with other emulation effects. After introducing the design and implementation of triggers in the KauNet emulator, we describe the integration of triggers with the DTN2 reference implementation and illustrate how the functionality can be used to emulate a classical DTN data-mule scenario.
Group behavior impact on an opportunistic localization scheme
G. KANG, T.PERENNOU, M.DIAZ, F.ZORZI, A.ZANELLA
ISAE, OLC, University of Padova
Manifestation avec acte : Future Network & Mobile Summit 2010 (FuNeMS 2010), Florence (Italie), 16-18 Juin 2010, 6p. , N° 10212
Lien : http://hal.archives-ouvertes.fr/hal-00471322/fr/
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In this paper we tackled the localization problem from an opportunistic perspective, according to which a node can infer its own spatial position by exchanging data with passing by nodes, called peers. We consider an opportunistic localization algorithm based on the linear matrix inequality (LMI) method coupled with a weighted barycenter algorithm. This scheme has been previously analyzed in scenarios with random deployment of peers, proving its effectiveness. In this paper, we extend the analysis by considering more realistic mobility models for peer nodes. More specifically, we consider two mobility models, namely the Group Random Waypoint Mobility Model and the Group Random Pedestrian Mobility Model, which is an improvement of the first one. Hence, we analyze by simulation the opportunistic localization algorithm for both the models, in order to gain insights on the impact of nodes mobility pattern onto the localization performance. The simulation results show that the mobility model has non-negligible effect on the final localization error, though the performance of the opportunistic localization scheme remains acceptable in all the considered scenarios.
W-NINE: A Two-stage Emulation Platform for Mobile and Wireless Systems
E.CONCHON, T.PERENNOU, J.GARCIA, M.DIAZ
OLC, Karlstad
Revue Scientifique : EURASIP Journal on Wireless Communications and Networking, 20p., 15 Février 2010, doi:10.1155/2010/149075 , N° 10137
Lien : http://hal.archives-ouvertes.fr/hal-00452804/fr/
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120702Analysis of opportunistic localization algorithms based on the linear matrix inequality method
F.ZORZI, A.BARDELLA, T.PERENNOU, G. KANG, A.ZANELLA
University of Padova, OLC, ISAE
Manifestation avec acte : 2nd International Workshop on Mobile Opportunistic Networking ACM/SIGMOBILE MobiOpp 2010, Pise (Italie), 22-23 Février 2010, 4p. , N° 10167
Lien : http://hal.archives-ouvertes.fr/hal-00452360/fr/
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120857Experimental localization application in opportunistic scenario
F.ZORZI, A.BARDELLA, T.PERENNOU, G. KANG, A.ZANELLA
University of Padova, OLC, ISAE
Manifestation avec acte : 2nd International Workshop on Mobile Opportunistic Networking ACM/SIGMOBILE MobiOpp 2010, Pise (Italie), 22-23 Février 2010, 3p. , N° 10169
Lien : http://hal.archives-ouvertes.fr/hal-00464302/fr/
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120861Using triggers for emulation of opportunistic networking
P.HURTIG, T.PERENNOU, A.BRUNSTROM, J.GARCIA
Karlstad, OLC
Manifestation avec acte : 2nd International Workshop on Mobile Opportunistic Networking ACM/SIGMOBILE MobiOpp 2010, Pise (Italie), 22-23 Février 2010, 4p. , N° 10168
Lien : http://hal.archives-ouvertes.fr/hal-00452365/fr/
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120859IP-Level Satellite Link Emulation with KauNet
T.PERENNOU, A.BOUABDALLAH, A.BRUNSTROM, J.GARCIA, P.HURTIG
OLC, Karlstad
Manifestation avec acte : International Workshop on Satellite and Space Communications (IWSSC 2009), Sienne (Italie), 9-11 Septembre 2009, 5p. , N° 09327
Lien : http://hal.archives-ouvertes.fr/hal-00388811/fr/
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Distributed applications and transport protocols communicating over a satellite link may react very strongly to conditions specific to that kind of link. Providing a evaluation framework to allow tests of real implementations of such software in that context is quite a challenging task. In this paper we demonstrate how the use of the general-purpose KauNet IP-level emulator combined ith satellite-specific packet loss patterns can help by reproducing losses and delays experienced on a satellite link with a simple Ethernet LAN setup. Such a platform is an essential tool for developers performing continuous testing as they provide new features for e.g. video codecs or transport-level software like DCCP and its congestion control components.
Opportunistic localization scheme based on linear matrix inequality
F.ZORZI, G. KANG, T.PERENNOU, A.ZANELLA
University of Padova, ISAE, OLC
Manifestation avec acte : 6th IEEE International Symposium on Intelligent Signal Processing (WISP 2009), Budapest (Hongrie), 27-28 Août 2009, pp.247-252 , N° 09319
Lien : http://hal.archives-ouvertes.fr/hal-00383088/fr/
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Enabling self-localization of mobile nodes is an important problem that has been widely studied in the literature. The general conclusions is that an accurate localization requires either sophisticated hardware (GPS, UWB, ultrasounds transceiver) or a dedicated infrastructure (GSM, WLAN). In this paper we tackle the problem from a different and rather new perspective: we investigate how localization performance can be improved by means of a cooperative and opportunistic data exchange among the nodes.We consider a target node, completely unaware of its own position, and a number of mobile nodes with some self-localization capabilities. When the opportunity occurs, the target node can exchange data with in-range mobile nodes. This opportunistic data exchange is then used by the target node to refine its position estimate by using a technique based on Linear Matrix Inequalities and barycentric algorithm. To investigate the performance of such an opportunistic localization algorithm, we define a simple mathematical model that describes the opportunistic interactions and, then, we run several computer simulations for analyzing the effect of the nodes duty-cycle and of the native self-localization error modeling considered. The results show that the opportunistic interactions can actually improve the self-localization accuracy of a strayed node in many different scenarios.