César Huegel Richa

Florianópolis, Santa Catarina, Brasil
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  • GE Renewable Energy

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Publicaciones

  • Modeling Time Requirements of S in Wireless Networks

    MDPI Sensors

    In this paper, we present an approach to assess the schedulability and scalability of S Networks through an algorithm that is capable of estimating the load of the network as its utility grows. Our approach evaluates both the network load and the laxity of messages, considering its current topology and real-time constraints while abstracting environmental specificities. The proposed algorithm also s for the network unreliability by applying a margin-of-safety parameter. This approach…

    In this paper, we present an approach to assess the schedulability and scalability of S Networks through an algorithm that is capable of estimating the load of the network as its utility grows. Our approach evaluates both the network load and the laxity of messages, considering its current topology and real-time constraints while abstracting environmental specificities. The proposed algorithm also s for the network unreliability by applying a margin-of-safety parameter. This approach enables higher utilities as it evaluates the load of the network considering a margin-of-safety that encapsulates phenomena such as collisions and interference, instead of performing a worst-case analysis. Furthermore, we present an evaluation of the proposed algorithm over three representative scenarios showing that the algorithm was able to successfully assess the network capacity as it reaches a higher use.

    Doi: 10.3390/s20071818

    Otros autores
    • Mateus M. Lucena
    • Leonardo ig Horstmann
    • José Luis Conradi Hoffmann
    • Antônio Augusto Fröhlich
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  • Low-Latency Secure Roaming in V2I Networks

    IEEE - Institute of Electrical and Electronics Engineers

    Secure communication is a key requirement for vehicular networks. However, high mobility and density bring several challenges to the roaming mechanism needed to handover the control of vehicles as they move along the roads. Authentication and key management must take place on the way, with strict timing and safety requirements that are seldom matched by the traditional Internet solutions. Those solutions are usually based on Public Key Infrastructures, use ordinary Internet protocols, and are…

    Secure communication is a key requirement for vehicular networks. However, high mobility and density bring several challenges to the roaming mechanism needed to handover the control of vehicles as they move along the roads. Authentication and key management must take place on the way, with strict timing and safety requirements that are seldom matched by the traditional Internet solutions. Those solutions are usually based on Public Key Infrastructures, use ordinary Internet protocols, and are implemented atop general-purpose operating systems that pose additional security threats. In this paper, we propose an extension of the Trustful Space-Time Protocol to implement a low-latency, secure roaming mechanism capable of handing over trust along roadside gateways using a token-based authentication mechanism that fits within a range of realistic scenarios. We modeled such realistic scenarios in the OMNeT++ simulator, using the Castalia Framework, and demonstrated that our protocol is capable to hand vehicles over among gateways of a large, highly utilized road with a low roaming latency.

    Doi: 10.1109/SBESC.2018.00014

    Otros autores
    • Antonio Augusto Fröhlich
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  • Space-Time Derivative-Based Prediction: A Novel Trickling Mechanism for WSN

    IEEE - Institute of Electrical and Electronics Engineers

    Time series prediction techniques reduce the number of messages generated at the application level, saving energy spent in the communication and, consequently, extending the network lifetime. Trickle is a well-known time series prediction mechanism commonly used to decrease the number of transmitted messages in Wireless Sensor Networks (WSN) and thus save energy. This paper presents the Space-Time Derivative-Based Prediction (ST-DBP), a novel Trickling mechanism to suppress data transmission in…

    Time series prediction techniques reduce the number of messages generated at the application level, saving energy spent in the communication and, consequently, extending the network lifetime. Trickle is a well-known time series prediction mechanism commonly used to decrease the number of transmitted messages in Wireless Sensor Networks (WSN) and thus save energy. This paper presents the Space-Time Derivative-Based Prediction (ST-DBP), a novel Trickling mechanism to suppress data transmission in space-time regions in WSNs. We integrate ST-DBP with the Trustful Space-Time Protocol (TSTP), an application-oriented, cross-layer communication protocol, and compare two variations of the ST-DBP with the original DBP using real data from a Solar Farm in of suppression data ratio. Our results show that the two variations of the ST-DBP outperform the original DBP.

    Doi: 10.1109/SBESC.2017.13

    Otros autores
    • Antônio Augusto Fröhlich
    • Giovani Gracioli
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