Biomimetic middleware design principles for IoT infrastructures

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

doi:10.12700/APH.17.5.2020.5.7

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 journal › Article › peer-review

11 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 language	English (US)
Pages (from-to)	135-150
Number of pages	16
Journal	Acta Polytechnica Hungarica
Volume	17
Issue number	5
DOIs	https://doi.org/10.12700/APH.17.5.2020.5.7
State	Published - 2020
Externally published	Yes

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

General Engineering

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10.12700/APH.17.5.2020.5.7

Cite this

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AU - Rozenblit, Jerzy

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AU - Chiu, Christopher

AU - Kluwak, Konrad

AU - Smutnicki, Czeslaw

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Biomimetic middleware design principles for IoT infrastructures

Abstract

Keywords

ASJC Scopus subject areas

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