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A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices

Mobile Edge Computing (MEC) relates to the deployment of decision-making processes at the network edge or mobile devices rather than in a centralized network entity like the cloud. This paradigm shift is acknowledged as one key pillar to enable autonomous operation and self-awareness in mobile devic...

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Autores principales: Pérez-Torres, Rafael, Torres-Huitzil, César, Galeana-Zapién, Hiram
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412476/
https://www.ncbi.nlm.nih.gov/pubmed/30781622
http://dx.doi.org/10.3390/s19040832
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author Pérez-Torres, Rafael
Torres-Huitzil, César
Galeana-Zapién, Hiram
author_facet Pérez-Torres, Rafael
Torres-Huitzil, César
Galeana-Zapién, Hiram
author_sort Pérez-Torres, Rafael
collection PubMed
description Mobile Edge Computing (MEC) relates to the deployment of decision-making processes at the network edge or mobile devices rather than in a centralized network entity like the cloud. This paradigm shift is acknowledged as one key pillar to enable autonomous operation and self-awareness in mobile devices in IoT. Under this paradigm, we focus on mobility-based services (MBSs), where mobile devices are expected to perform energy-efficient GPS data acquisition while also providing location accuracy. We rely on a fully on-device Cognitive Dynamic Systems (CDS) platform to propose and evaluate a cognitive controller aimed at both tackling the presence of uncertainties and exploiting the mobility information learned by such CDS toward energy-efficient and accurate location tracking via mobility-aware sampling policies. We performed a set of experiments and validated that the proposed control strategy outperformed similar approaches in terms of energy savings and spatio-temporal accuracy in LBS and MBS for smartphone devices.
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spelling pubmed-64124762019-04-03 A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices Pérez-Torres, Rafael Torres-Huitzil, César Galeana-Zapién, Hiram Sensors (Basel) Article Mobile Edge Computing (MEC) relates to the deployment of decision-making processes at the network edge or mobile devices rather than in a centralized network entity like the cloud. This paradigm shift is acknowledged as one key pillar to enable autonomous operation and self-awareness in mobile devices in IoT. Under this paradigm, we focus on mobility-based services (MBSs), where mobile devices are expected to perform energy-efficient GPS data acquisition while also providing location accuracy. We rely on a fully on-device Cognitive Dynamic Systems (CDS) platform to propose and evaluate a cognitive controller aimed at both tackling the presence of uncertainties and exploiting the mobility information learned by such CDS toward energy-efficient and accurate location tracking via mobility-aware sampling policies. We performed a set of experiments and validated that the proposed control strategy outperformed similar approaches in terms of energy savings and spatio-temporal accuracy in LBS and MBS for smartphone devices. MDPI 2019-02-18 /pmc/articles/PMC6412476/ /pubmed/30781622 http://dx.doi.org/10.3390/s19040832 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pérez-Torres, Rafael
Torres-Huitzil, César
Galeana-Zapién, Hiram
A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices
title A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices
title_full A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices
title_fullStr A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices
title_full_unstemmed A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices
title_short A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices
title_sort cognitive-inspired event-based control for power-aware human mobility analysis in iot devices
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6412476/
https://www.ncbi.nlm.nih.gov/pubmed/30781622
http://dx.doi.org/10.3390/s19040832
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