Design optimisation of a wireless sensor node using a temperature-based test plan

Author:

Ciani LorenzoORCID,Catelani MarcantonioORCID,Bartolini Alessandro,Guidi Giulia,Patrizi GabrieleORCID

Abstract

<p class="Abstract"><span lang="EN-US">The introduction of Big Data and Internet of Things has allowed the rapid development of smart farming technologies. Usually, systems implemented in smart farms monitor environmental conditions and soil parameter to improve productivity, to optimize soil conservation, to save water and to limit plant diseases. Wireless sensor networks are a widespread solution because they allow to implement effective and efficient crop monitoring. At the same time, wireless sensor networks can cover large area, they can ensure fault tolerance and they can acquire large amount of data. Recent literature misses to consider the testing of the hardware performances of such systems according to the actual operating conditions. The effects of a harsh environment on the dynamic metrological performances of sensor nodes are not sufficiently investigated. Consequently, this work deals with the electrical design optimization of a sensor node by means of thermal test used to reproduce the actual operating conditions of the nodes. The results of the node characterization through thermal tests are used to improve the node’s design and consequently to achieve higher performances in harsh operative conditions.</span></p>

Publisher

IMEKO International Measurement Confederation

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Instrumentation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Virtual Soil Moisture Sensor for Smart Farming Using Deep Learning;IEEE Transactions on Instrumentation and Measurement;2022

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