Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers

Research Article

An Redundant Networking Channel to Support Reliable Communications in the Internet of Things Applications

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  • @INPROCEEDINGS{10.1007/978-3-319-52730-7_29,
        author={Michael Ortiz and Yu Sun and Gilbert Young and Qingquan Sun},
        title={An Redundant Networking Channel to Support Reliable Communications in the Internet of Things Applications},
        proceedings={Machine Learning and Intelligent Communications. First International Conference, MLICOM 2016, Shanghai, China, August 27-28, 2016, Revised Selected Papers},
        proceedings_a={MLICOM},
        year={2017},
        month={2},
        keywords={IoT Communication channel Code generation},
        doi={10.1007/978-3-319-52730-7_29}
    }
    
  • Michael Ortiz
    Yu Sun
    Gilbert Young
    Qingquan Sun
    Year: 2017
    An Redundant Networking Channel to Support Reliable Communications in the Internet of Things Applications
    MLICOM
    Springer
    DOI: 10.1007/978-3-319-52730-7_29
Michael Ortiz1,*, Yu Sun1,*, Gilbert Young1, Qingquan Sun2,*
  • 1: California State Polytechnic University, Pomona
  • 2: California State University
*Contact email: mdortiz@cpp.edu, yusun@cpp.edu, qsun@csusb.edu

Abstract

Within the context of the Internet-of-Things (IoT), the number of interconnected devices is increasing dramatically and allowing for access to physical data that was previously unimaginable. Physical data is rapidly changing which makes it important to keep networking connections active. Any drop in communication can lead to the loss of sensitive data. A redundant network connection is an attempt to utilize common networking solutions in order to decrease the likelihood of network downtime. It does this by adding a new level of abstraction to networking, allowing data to be sent over multiple networking solutions as if it were a single network, as well as an intelligent decision engine to determine the most optimized and reliable connection to use dynamically.