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Sensors 2019, 19(4), 832;

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

CINVESTAV-Tamaulipas, Ciudad Victoria C.P. 87130 Tamaulipas, Mexico
Tecnologico de Monterrey, School of Engineering and Sciences, Campus Puebla, Av. Atlixcayotl 5718, Puebla C.P. 72453 Puebla, Mexico
Author to whom correspondence should be addressed.
Received: 31 December 2018 / Revised: 3 February 2019 / Accepted: 12 February 2019 / Published: 18 February 2019
(This article belongs to the Special Issue Mobile Sensing: Platforms, Technologies and Challenges)
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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. View Full-Text
Keywords: trajectory; stay point; cognitive control; smartphone; location; power-aware trajectory; stay point; cognitive control; smartphone; location; power-aware

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Pérez-Torres, R.; Torres-Huitzil, C.; Galeana-Zapién, H. A Cognitive-Inspired Event-Based Control for Power-Aware Human Mobility Analysis in IoT Devices. Sensors 2019, 19, 832.

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