Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings

Research Article

IoT Open Architecture Ground Control System by Adaptive Fusion Intelligent Interfaces for Robot Vectors Applied to 5G Network Densification Era

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  • @INPROCEEDINGS{10.1007/978-3-030-23976-3_12,
        author={Luige Vladareanu and Victor Vladareanu and Ionel-Alexandru Gal and Daniel-Octavian Melinte and Vlad Grosu and Mihai Radulescu},
        title={IoT Open Architecture Ground Control System by Adaptive Fusion Intelligent Interfaces for Robot Vectors Applied to 5G Network Densification Era},
        proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 4th EAI International Conference, FABULOUS 2019, Sofia, Bulgaria, March 28-29, 2019, Proceedings},
        proceedings_a={FABULOUS},
        year={2019},
        month={9},
        keywords={IoT 5G access networks Autonomous navigation Software defined networking Intelligent control interfaces Robots vectors Ground Control System Aerial robots navigation systems Wireless sensor networks},
        doi={10.1007/978-3-030-23976-3_12}
    }
    
  • Luige Vladareanu
    Victor Vladareanu
    Ionel-Alexandru Gal
    Daniel-Octavian Melinte
    Vlad Grosu
    Mihai Radulescu
    Year: 2019
    IoT Open Architecture Ground Control System by Adaptive Fusion Intelligent Interfaces for Robot Vectors Applied to 5G Network Densification Era
    FABULOUS
    Springer
    DOI: 10.1007/978-3-030-23976-3_12
Luige Vladareanu1,*, Victor Vladareanu1,*, Ionel-Alexandru Gal1, Daniel-Octavian Melinte1, Vlad Grosu1, Mihai Radulescu1
  • 1: Springer-Verlag
*Contact email: luigiv2007@yahoo.com.sg, victor.vladareanu@vipro.edu.ro

Abstract

The paper present IoT Open Architecture Ground Control System by adaptive fusion intelligent interfaces to the robot vectors communications applied to network densification in 5G Era. Intelligent interfaces for optimization and decision-making using neural networks, neutrosophic logic and deep learning convolutional are analyzed. The proposed solution providing efficient information management and decision grounding at a tactical and operative level in a wide array of applications.