Enabling Design of Middleware for Massive Scale IOT-based Systems

Zenon Chaczko, Ryszard Klempous, Jerzy Rozenblit, Christopher Chiu, Konrad Kluwak, Czeslaw Smutnicki

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Recently, the Internet of Things (IoT) technology has rapidly advanced to the stage where it is feasible to discover, locate and identify various smart sensors and devices based on the context, situation, their characteristics and relevancy to query for their data or control actions. Taking things, a step further when developing Large Scale Applications requires to overcome two serious issues. The first issue is find a solution for data sensing and collection from a massive number of various ubiquitous devices when converging these into the next generation networks. The second important issue is to deal with the "Big Data" that arrive from a very large number of sources. This research emphasizes the need for finding a solution for a large scale data aggregation and delivery. The paper introduces biomimetic design methods for data aggregation in the context of large scale IoT-based systems.

Original languageEnglish (US)
Title of host publicationINES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages219-223
Number of pages5
ISBN (Electronic)9781728112138
DOIs
StatePublished - Apr 2019
Event23rd IEEE International Conference on Intelligent Engineering Systems, INES 2019 - Godollo, Hungary
Duration: Apr 25 2019Apr 27 2019

Publication series

NameINES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings

Conference

Conference23rd IEEE International Conference on Intelligent Engineering Systems, INES 2019
CountryHungary
CityGodollo
Period4/25/194/27/19

Keywords

  • 5G Communications
  • Internet of Things
  • Massive-scale systems
  • Middleware
  • Ubiquitous Systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Control and Systems Engineering
  • Mechanical Engineering

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  • Cite this

    Chaczko, Z., Klempous, R., Rozenblit, J., Chiu, C., Kluwak, K., & Smutnicki, C. (2019). Enabling Design of Middleware for Massive Scale IOT-based Systems. In INES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings (pp. 219-223). [9109497] (INES 2019 - IEEE 23rd International Conference on Intelligent Engineering Systems, Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/INES46365.2019.9109497