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Universal Multi-platform Interaction Approach for Distributed Internet of Things

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The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021) (Deep-BDB 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 309))

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Abstract

This paper describes the issue of communication between devices in a designed distributed Internet of Things (IoT) computing system named DCS-IoT. The system was designed and is aimed to solve the challenges of high computation loading of a central node and nodes in general in the IoT-based solutions by data and task distribution approach. Initially, the approach is tested on complex math tasks. However, it is supposed the approach to be scaled for different task types and to be implemented in a variety of IoT-based solutions. However, it is assumed that this approach will be scaled and applied for different task types, and implemented in a variety of IoT-based solutions regardless of the sphere. The DCS-IoT is heterogeneous and based on multiple numbers of devices (Raspberry Pi, Odroid, Arduino, etc.) that mutually connected by wired and/or wireless communication channels. Since the devices have different processor architectures (ARM, Intel, ATmega), a universal approach is required to ensure their interaction. The multi-platform JVM (Java Virtual Machines) technology is considered as such an approach. Solutions based on TCP sockets, RMI (Remote Method Invocation) technology, and CORBA (Common Object Request Broker Architecture) technology are considered communication technology. The advantages and disadvantages of each approach are considered, and recommendations for use are offered for the DCS-IoT.

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Authors and Affiliations

  1. Bauman Moscow State Technical University, ul. Baumanskaya 2-ya, 5/1, Moscow, 105005, Russia

    Maria Stepanova & Oleg Eremin

Authors
  1. Maria Stepanova
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  2. Oleg Eremin
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Corresponding author

Correspondence to Maria Stepanova .

Editor information

Editors and Affiliations

  1. Department of Computer Science, Faculty of Engineering and Informatics, University of Bradford, Bradford, UK

    Irfan Awan

  2. Université de Paris, Paris, France

    Salima Benbernou

  3. School of Engineering, Computing and Mathematics, Oxford Brookes University, Oxford, UK

    Muhammad Younas

  4. Ludwigshafen, Rheinland-Pfalz, Germany

    Markus Aleksy

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Stepanova, M., Eremin, O. (2022). Universal Multi-platform Interaction Approach for Distributed Internet of Things. In: Awan, I., Benbernou, S., Younas, M., Aleksy, M. (eds) The International Conference on Deep Learning, Big Data and Blockchain (Deep-BDB 2021). Deep-BDB 2021. Lecture Notes in Networks and Systems, vol 309. Springer, Cham. https://doi.org/10.1007/978-3-030-84337-3_12

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