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Related Concept Videos

Testing Water Quality01:14

Testing Water Quality

258
When the quality of water for concrete preparation is uncertain, its impact on the setting time of cement and compressive strength of mortar is assessed by comparison with de-ionized or distilled water benchmarks. American Society for Testing and Materials (ASTM) C1602 requires the setting times to be within 90 minutes of the control, British Standard (BS) 3146:1980 allows a 30-minute variance in the initial setting, while British Standards European Norm (BS EN) 1008 specifies initial setting...
258

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Software-In-Loop Simulation of an Underwater Wireless Sensor Network for Monitoring Seawater Quality: Parameter

Alberto Clavijo-Rodriguez1, Victor Alonso-Eugenio2, Santiago Zazo1

  • 1Information Processing and Telecommunications Center, Universidad Politécnica de Madrid (UPM), Av Complutense 30, 28040 Madrid, Spain.

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|February 4, 2021
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Summary
This summary is machine-generated.

A real-time simulation technique was used to test underwater wireless sensor networks, analyzing key parameters like packet duplication and power consumption. This approach ensures reliable network performance before real-world deployment.

Keywords:
electromagnetic underwater wireless sensor networkenvironment simulatorsensor simulatorsoftware-in-loop simulationunderwater communications

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Oceanography

Background:

  • Underwater wireless sensor networks (UWSNs) present unique deployment challenges.
  • Reliable network performance is critical for underwater data acquisition and monitoring.

Purpose of the Study:

  • To introduce and evaluate a real-time software-in-loop simulation technique for UWSNs.
  • To analyze key network performance parameters in a simulated environment.
  • To ensure predictable network behavior and facilitate efficient deployment.

Main Methods:

  • A software-in-loop simulation environment was developed for UWSN testing.
  • Analysis focused on critical parameters: duplicated packets, one-way delay, and power consumption.
  • Production-ready software was evaluated under simulated network conditions.

Main Results:

  • The simulation accurately predicts UWSN behavior, including packet duplication and delay.
  • Power consumption patterns were identified and analyzed.
  • The technique demonstrated its effectiveness in evaluating network performance metrics.

Conclusions:

  • Real-time simulation is a viable method for testing and validating UWSN software.
  • This approach enhances understanding of network parameters and optimizes deployment strategies.
  • The simulation facilitates the establishment of network parameters and guarantees expected behavior prior to deployment.