Adaptive Positioning Systems Based on Multiple Wireless Interfaces for Industrial IoT in Harsh Manufacturing Environments

Jordi Mongay Batalla , Constandinos X. Mavromoustakis , George Mastorakis , Neal Naixue Xiong , Józef Woźniak

Abstract

As the industrial sector is becoming ever more flexible in order to improve productivity, legacy interfaces for industrial applications must evolve to enhance efficiency and must adapt to achieve higher elasticity and reliability in harsh manufacturing environments. The localization of machines, sensors and workers inside the industrial premises is one of such interfaces used by many applications. Current localization-based systems are unable to deal with highly variable conditions, meaning that the solutions working well in stationary systems suffer from considerable difficulties in harsh environments, such as factories. As a result, the precision of localization techniques is not satisfactory in most industrial applications. This paper fills in the existing gap between static approaches and dynamic indoor positioning systems, by presenting a solution adapting the system to highly changeable conditions. The proposed solution makes use of a Machine Learning-based feedback loop that learns the variability of the environment. This feedback makes continuous fingerprint calibration feasible even in the presence of different machines and Industrial Internet of Things sensors that introduce variations to the electromagnetic environment. This paper also presents a comprehensive indoor positioning system solution that reduces complexity of hardware, meaning that a multi-standard-transceiver infrastructure may be adopted with reduced capital and operational expenditures. We have developed the system from scratch and have conducted an extensive range of testbed experiments showing that the multi-technology transceiver feature is capable of increasing positioning accuracy, as well as of introducing permanent fingerprints calibration at harsh industrial premises.
Author Jordi Mongay Batalla (FEIT / IT)
Jordi Mongay Batalla,,
- The Institute of Telecommunications
, Constandinos X. Mavromoustakis - University of Nicosia (UNIC)
Constandinos X. Mavromoustakis,,
-
, George Mastorakis - Hellenic Mediterranean University
George Mastorakis,,
-
, Neal Naixue Xiong - Northeastern State University (NSUOK)
Neal Naixue Xiong,,
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, Józef Woźniak - Faculty of Electronics, Telecommunications and Informatics (ETI) [Gdańsk University of Technology (PG)]
Józef Woźniak,,
-
Journal seriesIEEE Journal on Selected Areas in Communications, ISSN 0733-8716, e-ISSN 1558-0008
Issue year2020
Volin press
Noin press
Pages1-1
Publication size in sheets0.3
Keywords in EnglishPositioning system, Mahalanobis distance calibration, industrial IoT, industrial interface
ASJC Classification1705 Computer Networks and Communications; 2208 Electrical and Electronic Engineering
DOIDOI:10.1109/JSAC.2020.2980800
Languageen angielski
Score (nominal)200
Score sourcejournalList
ScoreMinisterial score = 200.0, 18-08-2020, ArticleFromJournal
Publication indicators Scopus Citations = 0; GS Citations = 1.0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 3.311; WoS Impact Factor: 2018 = 9.302 (2) - 2018=9.242 (5)
Citation count*1 (2020-09-11)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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