This preprint is under consideration at EURASIP Journal on Wireless Communications and Networking. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Implementation of Choreography Services for Precision Agriculture Based on Real-time Monitoring and Control System Using WSN
Sara Blanc
ITACA, Universitat Politecnica de Valencia, Camino de Vera s/n, Valencia 46022,
Corresponding Author
ORCiD: https://orcid.org/0000-0001-6439-2902
License:
This work is licensed under a CC BY 4.0 License. Read Full License
This paper presents a monitoring, control, and management system that allows multiple smart gateways interoperation on a greenhouse developed under the Internet of Things (IoT) paradigm. The system deploys a new Chloroplast N nodes type interconnected by Zigbee to measure ambient and soil parameters. It includes a web service to help the administrator of the agricultural establishment visualize and manage the greenhouse on a Chlorophyll X web platform. Moreover, the system supports human decision-making to face undesirable and unexpected environmental events. The objective is to bolster automatic decision making on water supplied to the crops in real-Time. Nodes form a Wireless Sensor Network (WSN) with several smart gateways designed under a Service Oriented Architecture (SOA). Smart gateways allow data reading, storage, and edge computing through automatic rules for managing actions in the greenhouse as well as data transmission for centralized cloud service processing. The service system layer is based on choreography -underexploited on embedded systems-that allows agile scalability. This research examined two case studies, a distributed and a hybrid service deployment scheme, where latency times in the choreography system, as well as telecontrol management. We realized that a hybrid deployment of irrigation services between the edge and the fog layers could reduce the computational load on the gateways. Furthermore, a larger message size with packets of more than 100 KB slowed down the computing time when accessing the database.
Keywords
Internet of Things (IoT), Service Choreography, Wireless Sensor Networks (WSN), Smart Agriculture, Zigbee, Egde, Fog
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 05 Jan, 2021
No community comments so far
Submission checks complete
On 29 Dec, 2020
Editor assigned
On 28 Dec, 2020
Editor invited
On 28 Dec, 2020
First submitted
On 27 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Technical Communication
Learn more about our company.
This preprint is under consideration at EURASIP Journal on Wireless Communications and Networking. A preprint is a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Learn more about In Review
Research
Implementation of Choreography Services for Precision Agriculture Based on Real-time Monitoring and Control System Using WSN
Sara Blanc
ITACA, Universitat Politecnica de Valencia, Camino de Vera s/n, Valencia 46022,
Corresponding Author
ORCiD: https://orcid.org/0000-0001-6439-2902
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
Peer Review Timeline
CURRENT STATUS: Under Review
Version 1
Posted 05 Jan, 2021
No community comments so far
Submission checks complete
On 29 Dec, 2020
Editor assigned
On 28 Dec, 2020
Editor invited
On 28 Dec, 2020
First submitted
On 27 Dec, 2020
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Technical Communication
License:
This work is licensed under a CC BY 4.0 License. Read Full License
This paper presents a monitoring, control, and management system that allows multiple smart gateways interoperation on a greenhouse developed under the Internet of Things (IoT) paradigm. The system deploys a new Chloroplast N nodes type interconnected by Zigbee to measure ambient and soil parameters. It includes a web service to help the administrator of the agricultural establishment visualize and manage the greenhouse on a Chlorophyll X web platform. Moreover, the system supports human decision-making to face undesirable and unexpected environmental events. The objective is to bolster automatic decision making on water supplied to the crops in real-Time. Nodes form a Wireless Sensor Network (WSN) with several smart gateways designed under a Service Oriented Architecture (SOA). Smart gateways allow data reading, storage, and edge computing through automatic rules for managing actions in the greenhouse as well as data transmission for centralized cloud service processing. The service system layer is based on choreography -underexploited on embedded systems-that allows agile scalability. This research examined two case studies, a distributed and a hybrid service deployment scheme, where latency times in the choreography system, as well as telecontrol management. We realized that a hybrid deployment of irrigation services between the edge and the fog layers could reduce the computational load on the gateways. Furthermore, a larger message size with packets of more than 100 KB slowed down the computing time when accessing the database.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Figure 6
Figure 7
Figure 8
Figure 9
Figure 10
Figure 11
Figure 12
Figure 13
Figure 14
Figure 15
Figure 16
Figure 17
Figure 18
Figure 19
Due to technical limitations, full-text HTML conversion of this manuscript could not be completed. However, the manuscript can be downloaded and accessed as a PDF.