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智能农业应用中的无线传感器网络的可靠性分析。

Reliability Analysis of Wireless Sensor Network for Smart Farming Applications.

机构信息

Department of Information Engineering, University of Florence, via di S. Marta 3, 50139 Florence, Italy.

出版信息

Sensors (Basel). 2021 Nov 18;21(22):7683. doi: 10.3390/s21227683.

Abstract

Wireless Sensor Networks are subjected to some design constraints (e.g., processing capability, storage memory, energy consumption, fixed deployment, etc.) and to outdoor harsh conditions that deeply affect the network reliability. The aim of this work is to provide a deeper understanding about the way redundancy and node deployment affect the network reliability. In more detail, the paper analyzes the design and implementation of a wireless sensor network for low-power and low-cost applications and calculates its reliability considering the real environmental conditions and the real arrangement of the nodes deployed in the field. The reliability of the system has been evaluated by looking for both hardware failures and communication errors. A reliability prediction based on different handbooks has been carried out to estimate the failure rate of the nodes self-designed and self-developed to be used under harsh environments. Then, using the Fault Tree Analysis the real deployment of the nodes is taken into account considering the Wi-Fi coverage area and the possible communication link between nearby nodes. The findings show how different node arrangements provide significantly different reliability. The positioning is therefore essential in order to obtain maximum performance from a Wireless sensor network.

摘要

无线传感器网络受到一些设计约束(例如,处理能力、存储内存、能耗、固定部署等)和户外恶劣条件的影响,这些条件会严重影响网络可靠性。本工作旨在深入了解冗余和节点部署对网络可靠性的影响方式。更详细地说,本文分析了为低功率和低成本应用设计和实现的无线传感器网络,并考虑实际环境条件和现场部署的节点的实际布置来计算其可靠性。通过寻找硬件故障和通信错误来评估系统的可靠性。基于不同手册进行了可靠性预测,以估算在恶劣环境下使用的自设计和自开发节点的故障率。然后,使用故障树分析考虑 Wi-Fi 覆盖范围和附近节点之间可能的通信链路,考虑到节点的实际部署。研究结果表明,不同的节点布置提供了显著不同的可靠性。因此,为了从无线传感器网络获得最大性能,定位是必不可少的。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9529/8619464/ebf944601226/sensors-21-07683-g001.jpg

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