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Instituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica de València, C/ Paranimf nº 1, Grao de Gandía – Gandia, Valencia, Spain

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2 Papers

Practical Design of a WiFi-based Wireless Sensor Network for Precision Agriculture in Citrus Crops

Topics: Coverage, Connectivity and Deployment Issues; Localization and Positioning Schemes; Wireless Communication; Wireless Lan; Wi-Fi, Wimax and Bluetooth

Authors: Laura García , Sandra Viciano-Tudela , Sandra Sendra and Jaime Lloret

Affiliation: Universitat Politècnica de València, Camino de Vera, s/n., 46022 Valencia, Spain

Digital Object Identifier: 10.5220/0011355300003286

Proceedings of WINSYS 2022, ISBN: 978-989-758-592-0

Quick Abstract

Agriculture is one of the most important economic sectors in the world. On the one hand, most of its importance resides in the food that is produced. On the other hand, this sector employs millions of people in the world both directly and indirectly. The introduction of Internet of Things (IoT) solutions for crop monitoring and management was the next step to improve the quality of the product, the quantity in the production, and to reduce the use of resources such as water. In this paper, a practical design of a WiFi-based Wireless Sensor Network (WSN) for citrus crop monitoring is presented. A mathematical model is obtained from the results of practical tests performed with low-cost devices for different height configurations of both the Access Point (AP) and the emitter according to the distance. The maximum coverage for the AP for each configuration is obtained as well. The results show the number of sensor nodes necessary to monitor the field according to its extension, and the number of APs needed to provide coverage for all the nodes deployed on the citrus field for each configuration. This way, a tool for the design of WSNs to monitor citrus plots is provided.

Multi-layer Fog Computing Framework for Constrained LoRa Networks Intended for Water Quality Monitoring and Precision Agriculture Systems

Topics: Internet of Things; Coverage, Connectivity and Deployment Issues; Wireless Communication; Wi-Fi, Wimax and Bluetooth; Wireless Channels

Authors: Laura García ^{1

;

2} , Jose M. Jimenez ^{1

;

2} , Sandra Sendra ¹ , Jaime Lloret ¹ and Pascal Lorenz ²

Affiliations: ¹ Instituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica de València, C/ Paranimf nº 1, Grao de Gandía – Gandia, Valencia, Spain , ² Network and Telecommunication Research Group, University of Haute Alsace, 34 rue du Grillenbreit, 68008, Colmar, France

Digital Object Identifier: 10.5220/0010618300460055

Proceedings of WINSYS 2021, ISBN: 978-989-758-529-6

Quick Abstract

As the population of the world keeps increasing, it is necessary for the agriculture to adopt technologies that improve the production and optimize re-sources such as water. This has been done by introducing IoT devices, which has led to smart agriculture or precision agriculture. However, due to the remoteness of the fields, the communication of these devices needs to be per-formed with technologies such as LoRa that has limitations on the amount of data and the number of messages that can be forwarded. Furthermore, as there is no connection to the electric grid, optimizing the energy consumption is a necessity. In this paper, we present a multi-layer fog computing framework for a water quality monitoring and precision agriculture system. Data aggregation techniques are applied at the algorithms provided for the different layers to reduce the amount of data and the number of messages forwarded to the data center so as to improve the performance of the constrained LoRa network and reduce the energy consumption. Furthermore, the added decision-making provides fault-tolerance to the system if the connection to the Data Center is not available. Simulations were performed for different functioning modes. Results show a reduction of the 80% in the amount of transmitted data and a reduction of 85.33% in the number of for-warded messages for the most restrictive functioning mode.