Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

An Advanced Energy-Efficient Environmental Monitoring in Precision Agriculture Using Lora-Based Wireless Sensor Networks

Version 1 : Received: 14 June 2023 / Approved: 14 June 2023 / Online: 14 June 2023 (14:31:06 CEST)

A peer-reviewed article of this Preprint also exists.

Križanović, V.; Grgić, K.; Spišić, J.; Žagar, D. An Advanced Energy-Efficient Environmental Monitoring in Precision Agriculture Using LoRa-Based Wireless Sensor Networks. Sensors 2023, 23, 6332. Križanović, V.; Grgić, K.; Spišić, J.; Žagar, D. An Advanced Energy-Efficient Environmental Monitoring in Precision Agriculture Using LoRa-Based Wireless Sensor Networks. Sensors 2023, 23, 6332.

Abstract

Sensor networks, as a special subtype of wireless networks, consist of sets of wirelessly connected sensor nodes often placed in hard-to-reach environments. Therefore, it is expected that sensor nodes will not be powered from the power grid. Instead, sensor nodes have their own power sources, the replacement of which is often impractical and requires additional costs, so it is necessary to ensure minimum energy consumption. For that reason, the energy efficiency of wireless sensor networks used for monitoring environmental parameters is essential, especially in remote networking scenarios. In this paper, an overview of the latest research progress on wireless sensor networks based on LoRa was provided. Furthermore, the analyses of the energy consumption of sensor nodes used in agriculture to observe environmental parameters were carried out. Optimization methods of energy consumption, in terms of choosing the appropriate data collection processes, as well as the settings of wireless network radio parameters were suggested. In the conducted analyses, special emphasis was placed on choosing the optimal package size. In this paper, it was proven that the adjustment of the transmission speed to the actual size of the packet is important for better energy efficiency of communication.

Keywords

LoRa technology; Wireless Sensor Networks; Energy Efficiency; Environmental Monitoring; Precision Agriculture

Subject

Engineering, Electrical and Electronic Engineering

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