Biomimetic middleware design principles for IoT infrastructures

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

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

The advancement of Internet of Things (IoT) has made it practical to discover, localize and pinpoint smart sensing devices based on the situational context, relevancy, and characteristics to query data intelligently, or conduct actions. Furthermore, the development of large-scale applications must deal with data collection and data sensing from a massive number of ubiquitous components, ultimately converging into 5G mobile networking. Additionally, IoT involves managing the expectations of Big Data sourced from many heterogeneous sources. This paper provides an overview of biomimetic methodologies, which represent a viable solution for large-scale data delivery through the aggregation of information with large-scale IoT technologies.

Original languageEnglish (US)
Pages (from-to)135-150
Number of pages16
JournalActa Polytechnica Hungarica
Volume17
Issue number5
DOIs
StatePublished - 2020

Keywords

  • 5G communications
  • Big data
  • Internet of Things
  • Machine-to-machine systems
  • Massive-scale systems
  • Middleware
  • Ubiquitous systems
  • Wireless sensor and actuator networks

ASJC Scopus subject areas

  • Engineering(all)

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