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Devising Mobile Sensing and Actuation Infrastructure with Drones
Vast applications and services have been enabled as the number of mobile or sensing devices with communication capabilities has grown. However, managing the devices, integrating networks or combining services across different networks has become a new problem since each network is not directly conne...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856074/ https://www.ncbi.nlm.nih.gov/pubmed/29463064 http://dx.doi.org/10.3390/s18020624 |
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author | Bae, Mungyu Yoo, Seungho Jung, Jongtack Park, Seongjoon Kim, Kangho Lee, Joon Yeop Kim, Hwangnam |
author_facet | Bae, Mungyu Yoo, Seungho Jung, Jongtack Park, Seongjoon Kim, Kangho Lee, Joon Yeop Kim, Hwangnam |
author_sort | Bae, Mungyu |
collection | PubMed |
description | Vast applications and services have been enabled as the number of mobile or sensing devices with communication capabilities has grown. However, managing the devices, integrating networks or combining services across different networks has become a new problem since each network is not directly connected via back-end core networks or servers. The issue is and has been discussed especially in wireless sensor and actuator networks (WSAN). In such systems, sensors and actuators are tightly coupled, so when an independent WSAN needs to collaborate with other networks, it is difficult to adequately combine them into an integrated infrastructure. In this paper, we propose drone-as-a-gateway (DaaG), which uses drones as mobile gateways to interconnect isolated networks or combine independent services. Our system contains features that focus on the service being provided in the order of importance, different from an adaptive simple mobile sink system or delay-tolerant system. Our simulation results have shown that the proposed system is able to activate actuators in the order of importance of the service, which uses separate sensors’ data, and it consumes almost the same time in comparison with other path-planning algorithms. Moreover, we have implemented DaaG and presented results in a field test to show that it can enable large-scale on-demand deployment of sensing and actuation infrastructure or the Internet of Things (IoT). |
format | Online Article Text |
id | pubmed-5856074 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58560742018-03-20 Devising Mobile Sensing and Actuation Infrastructure with Drones Bae, Mungyu Yoo, Seungho Jung, Jongtack Park, Seongjoon Kim, Kangho Lee, Joon Yeop Kim, Hwangnam Sensors (Basel) Article Vast applications and services have been enabled as the number of mobile or sensing devices with communication capabilities has grown. However, managing the devices, integrating networks or combining services across different networks has become a new problem since each network is not directly connected via back-end core networks or servers. The issue is and has been discussed especially in wireless sensor and actuator networks (WSAN). In such systems, sensors and actuators are tightly coupled, so when an independent WSAN needs to collaborate with other networks, it is difficult to adequately combine them into an integrated infrastructure. In this paper, we propose drone-as-a-gateway (DaaG), which uses drones as mobile gateways to interconnect isolated networks or combine independent services. Our system contains features that focus on the service being provided in the order of importance, different from an adaptive simple mobile sink system or delay-tolerant system. Our simulation results have shown that the proposed system is able to activate actuators in the order of importance of the service, which uses separate sensors’ data, and it consumes almost the same time in comparison with other path-planning algorithms. Moreover, we have implemented DaaG and presented results in a field test to show that it can enable large-scale on-demand deployment of sensing and actuation infrastructure or the Internet of Things (IoT). MDPI 2018-02-19 /pmc/articles/PMC5856074/ /pubmed/29463064 http://dx.doi.org/10.3390/s18020624 Text en © 2018 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 Bae, Mungyu Yoo, Seungho Jung, Jongtack Park, Seongjoon Kim, Kangho Lee, Joon Yeop Kim, Hwangnam Devising Mobile Sensing and Actuation Infrastructure with Drones |
title | Devising Mobile Sensing and Actuation Infrastructure with Drones |
title_full | Devising Mobile Sensing and Actuation Infrastructure with Drones |
title_fullStr | Devising Mobile Sensing and Actuation Infrastructure with Drones |
title_full_unstemmed | Devising Mobile Sensing and Actuation Infrastructure with Drones |
title_short | Devising Mobile Sensing and Actuation Infrastructure with Drones |
title_sort | devising mobile sensing and actuation infrastructure with drones |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5856074/ https://www.ncbi.nlm.nih.gov/pubmed/29463064 http://dx.doi.org/10.3390/s18020624 |
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