2022
DOI: 10.1177/15501477211068389
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A software-defined multi-modal wireless sensor network for ocean monitoring

Abstract: The software-defined networking paradigm enables wireless sensor networks as a programmable and reconfigurable network to improve network management and efficiency. However, several challenges arise when implementing the concept of software-defined networking in maritime wireless sensor networks, as the networks operate in harsh ocean environments, and the dominant underwater acoustic systems are with limited bandwidth and high latency, which render the implementation of software-defined networking central-con… Show more

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Cited by 19 publications
(7 citation statements)
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“…One of the important ways to improve the quality of the software is to carry out a lot of testing before the software is put into use and discover the defects and even errors in time. Software testing includes many links, such as generating test data, executing the software under test, and evaluating test results [1].…”
Section: Introductionmentioning
confidence: 99%
“…One of the important ways to improve the quality of the software is to carry out a lot of testing before the software is put into use and discover the defects and even errors in time. Software testing includes many links, such as generating test data, executing the software under test, and evaluating test results [1].…”
Section: Introductionmentioning
confidence: 99%
“…H. 264 is a new generation of digital video coding standard. As the most advanced video coding standard in the world, it has the characteristics of high compression rate, low coding rate, and low bandwidth requirements [4].…”
Section: Introductionmentioning
confidence: 99%
“…In contrast, marine sensors can form various sensing and detection tasks for marine applications. Luo et al (2022) proposed a software-defined intelligent wireless sensor network to solve ocean monitoring problems such as sea surface and subsea monitoring. Marine sensor networks have a wide range of applications and a high potential for ocean observation and prediction.…”
Section: Smart Sensor Networkingmentioning
confidence: 99%