CTM - Indexed Articles in Conferences

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Browsing CTM - Indexed Articles in Conferences by Author "651"
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    Experimental evaluation of shore to unmanned surface vehicle Wi-Fi communications
    ( 2018) Bruno Miguel Ferreira ; Manuel Ricardo ; Rui Lopes Campos ; André Filipe Coelho ; Mário Jorge Lopes ; 5238 ; 6599 ; 5859 ; 4473 ; 651
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    ns-3 NEXT: Towards a reference platform for offline and augmented wireless networking experimentation
    ( 2019) Rui Lopes Campos ; Manuel Ricardo ; Hélder Martins Fontes ; Vítor Hugo Fernandes ; 7592 ; 651 ; 4473 ; 5179
    In the past years, INESC TEC has been working on using ns-3 to reduce the gap between Simulation and Experimentation. Two major contributions resulted from our work: 1) the Fast Prototyping development process, where the same ns-3 protocol model is used in a real experiment; 2) the Trace-based Simulation (TS) approach, where traces of radio link qualities and position of nodes from past experiments are injected into ns-3 to achieve repeatable and reproducible experiments. In this paper we present ns-3 NEXT, our vision for ns-3 to enable simulation and experimentation using the same platform. We envision ns-3 as the platform that can automatically learn from past experiments and improve its accuracy to a point where simulated resources can seamlessly replace real resources. At that point, ns-3 can either replace a real testbed accurately (Offline Experimentation) or add functionality and scale to testbeds (Augmented Experimentation). Towards this vision, we discuss the current limitations and propose a plan to overcome them collectively within the ns-3 community. © 2019 ACM.
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    On the Reproduction of Real Wireless Channel Occupancy in ns-3
    ( 2020) Hélder Martins Fontes ; Rui Lopes Campos ; Manuel Ricardo ; José Ruela ; Renato Mendes Cruz ; 7543 ; 651 ; 174 ; 4473 ; 5179
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    Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3
    ( 2023) Rui Lopes Campos ; Manuel Ricardo ; Hélder Martins Fontes ; Eduardo Nuno Almeida ; 4473 ; 651 ; 5179 ; 6453
    Digital twins have been emerging as a hybrid approach that combines the benefits of simulators with the realism of experimental testbeds. The accurate and repeatable set-ups replicating the dynamic conditions of physical environments, enable digital twins of wireless networks to be used to evaluate the performance of next-generation networks. In this paper, we propose the Position-based Machine Learning Propagation Loss Model (P-MLPL), enabling the creation of fast and more precise digital twins of wireless networks in ns-3. Based on network traces collected in an experimental testbed, the P-MLPL model estimates the propagation loss suffered by packets exchanged between a transmitter and a receiver, considering the absolute node's positions and the traffic direction. The P-MLPL model is validated with a test suite. The results show that the P-MLPL model can predict the propagation loss with a median error of 2.5 dB, which corresponds to 0.5x the error of existing models in ns-3. Moreover, ns-3 simulations with the P-MLPL model estimated the throughput with an error up to 2.5 Mbit/s, when compared to the real values measured in the testbed.
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    Repeatable and Reproducible Wireless Networking Experimentation through Trace-based Simulation
    ( 2019) Vítor Hugo Fernandes ; Rui Lopes Campos ; Manuel Ricardo ; Ruela,J ; Tiago Telmo Oliveira ; Hélder Martins Fontes ; 7592 ; 651 ; 4473 ; 5179 ; 6431