Implementation of Choreography Services for Precision Agriculture Based on Real-time Monitoring and Control System Using WSN
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.
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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.
Posted 05 Jan, 2021
On 29 Dec, 2020
On 28 Dec, 2020
On 28 Dec, 2020
On 27 Dec, 2020
Implementation of Choreography Services for Precision Agriculture Based on Real-time Monitoring and Control System Using WSN
Posted 05 Jan, 2021
On 29 Dec, 2020
On 28 Dec, 2020
On 28 Dec, 2020
On 27 Dec, 2020
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.
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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.