A Governance Architecture for Self-Adaption Control in IoT Applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Citations (Scopus)

Abstract

The 'Internet of Things' has become a reality with projections of 28 billion connected devices by 2021. Much RD is currently focused on creating methods to efficiently handle an influx of data. Flow based programming, where data is moved through a network of processes, is a model well suited to IoT. This paper proposes a dynamic, distributed data processing architecture, utilizing a flow based programming inspired approach. We illustrate a distributed configuration management protocol, which coordinates processing between edge devices and a central controller. Our proposed architecture is evaluated in a vehicle use case that predicts driver alertness. We present a scenario for reducing data on vehicular networks when the connectivity options are limited, while maintaining computational accuracy.

Original languageEnglish
Title of host publication2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-246
Number of pages6
ISBN (Electronic)9781538650653
DOIs
Publication statusPublished - 22 Jun 2018
Event5th International Conference on Control, Decision and Information Technologies, CoDIT 2018 - Thessaloniki, Greece
Duration: 10 Apr 201813 Apr 2018

Publication series

Name2018 5th International Conference on Control, Decision and Information Technologies, CoDIT 2018

Conference

Conference5th International Conference on Control, Decision and Information Technologies, CoDIT 2018
Country/TerritoryGreece
CityThessaloniki
Period10/04/1813/04/18

Keywords

  • Apache Minifi
  • Apache NiFi
  • Data Prioritization
  • Flow Based Programming
  • Internet of Things

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