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.
Highlights
Underwater wireless sensor networks (UWSN) are useful communication infrastructures for seismology, oceanography, marine life monitoring and surveillance, natural disaster prevention and control, integrity checks of oil and gas facilities, and military tactical operations [1,2,3,4,5].These applications’ network requirements differ considerably in terms of bandwidth, maximum acceptable latency, redundancy protection, and environment deployment, among other parameters
We evaluate the real-time operation of an electromagnetic underwater sensor network (EM-UWSN) based on the STANAG 5066 communications stack
These nodes provide a particular application with the communications infrastructure—in this case, the monitoring of a coastal sewage emissary. Monitoring this emissary is an issue that is currently under study and will be addressed, as it is a necessary step before the network’s deployment. This will be the objective of a forthcoming paper where we will be able to compare the results obtained in our simulation model
Summary
Underwater wireless sensor networks (UWSN) are useful communication infrastructures for seismology, oceanography, marine life monitoring and surveillance, natural disaster prevention and control, integrity checks of oil and gas facilities, and military tactical operations [1,2,3,4,5]. These applications’ network requirements differ considerably in terms of bandwidth, maximum acceptable latency, redundancy protection, and environment deployment, among other parameters. Energy efficiency is an essential issue in UWSN, as stated in [4,9]
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