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用于监测海水水质的水下无线传感器网络的软件在环仿真:参数选择与性能验证

Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter Selection and Performance Validation.

作者信息

Clavijo-Rodriguez Alberto, Alonso-Eugenio Victor, Zazo Santiago, Perez-Alvarez Ivan

机构信息

Information Processing and Telecommunications Center, Universidad Politécnica de Madrid (UPM), Av Complutense 30, 28040 Madrid, Spain.

Instituto para el Desarrollo Tecnológico y la Innovación en Comunicaciones (IDeTIC), Universidad de Las Palmas de Gran Canaria (ULPGC), 35017 Las Palmas, Spain.

出版信息

Sensors (Basel). 2021 Feb 1;21(3):966. doi: 10.3390/s21030966.

DOI:10.3390/s21030966
PMID:33535478
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7867061/
Abstract

In this work, a real-time software-in-loop simulation technique was employed to test and analyse an underwater wireless sensor network. This simulation should facilitate the deployment of the real network and helps guarantee the network's expected behaviour. We study duplicated packets, one-way delay, and power consumption to analyse the network's leading parameters. Evaluating production-ready software in simulated conditions eases effective deployment. This method will ultimately allow us to establish these parameters, test the software before the deployment, and have an excellent understanding of the network's behaviour.

摘要

在这项工作中,采用了一种实时软件在环仿真技术来测试和分析水下无线传感器网络。这种仿真应有助于实际网络的部署,并有助于保证网络的预期性能。我们研究重复数据包、单向延迟和功耗,以分析网络的主要参数。在模拟条件下评估可投入生产的软件有助于有效部署。这种方法最终将使我们能够确定这些参数,在部署前测试软件,并深入了解网络的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/7d9decbf1477/sensors-21-00966-g015.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/a9f326338c3d/sensors-21-00966-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/df8eae6ab83d/sensors-21-00966-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/fba944dfb5cb/sensors-21-00966-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/5ffd36365248/sensors-21-00966-g013.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/5a25684a8e05/sensors-21-00966-g014.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/7d9decbf1477/sensors-21-00966-g015.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/ec160f3f2589/sensors-21-00966-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/a5502a2c8dfc/sensors-21-00966-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/d02212cc2f28/sensors-21-00966-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/30648d38353c/sensors-21-00966-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/f3792de99134/sensors-21-00966-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/96f24f2aff0f/sensors-21-00966-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/a9f326338c3d/sensors-21-00966-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/df8eae6ab83d/sensors-21-00966-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/fba944dfb5cb/sensors-21-00966-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/792f/7867061/5ffd36365248/sensors-21-00966-g013.jpg
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