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...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 18; no. 2; p. 624
Main Authors:	Bae, Mungyu, Yoo, Seungho, Jung, Jongtack, Park, Seongjoon, Kim, Kangho, Kim, Joon Yeop Lee, Kim, Hwangnam
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 19-02-2018 MDPI
Subjects:	Actuators Adaptive systems architectures and applications for the Internet of Things Computer simulation connectivity drone network Field tests Gateways Infrastructure Internet of Things opportunistic and delay-tolerant networks Sensors Servers wireless sensor and actuator networks Wireless sensor networks wireless sensor and actuator networks connectivity architectures and applications for the Internet of Things opportunistic and delay-tolerant networks drone network
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Summary:	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).
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	1424-8220 1424-8220
DOI:	10.3390/s18020624