All Outputs (3)

Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers. (2024)
Presentation / Conference Contribution
STEWART, C., FOUGH, F., FOUGH, N. and PRABHU, R. 2024. Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers. In Proceedings of the 31st IEEE (Institute of Electrical and Electronics Engineers) International conference on electronics, circuits, and systems (IEEE ICECS 2024), 18-20 November 2024, Nancy, France. Piscataway: IEEE [online], 10848718. Available from: https://doi.org/10.1109/ICECS61496.2024.10848718

Among many challenges in establishing an Underwater Wireless Sensor Network, is the challenge of resource constraints, battery and bandwidth being limited which renders acoustic networks limited in life and application. One identified application of... Read More about Optimizing energy efficiency in underwater acoustic networks through machine learning classifiers..

Machine learning based underwater optical-acoustic communications channel switching for throughput improvement. (2024)
Presentation / Conference Contribution
STEWART, C., MUHAMMAD, A., FUNG, W.-K., FOUGH, N. and PRABHU, R. 2024. Machine learning based underwater optical-acoustic communications channel switching for throughput improvement. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 46-51. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765751

Underwater Wireless Optical Communication (UWOC) is at the cutting edge of subsea networking, offering high capacity, low-latency, energy-efficient connectivity that offers many advantages over the acoustic standard which has been embedded in submers... Read More about Machine learning based underwater optical-acoustic communications channel switching for throughput improvement..

Evaluating the impact of ranging error in underwater localization using SAR satellite data. (2024)
Presentation / Conference Contribution
MUHAMMAD, A., STEWART, C., FOUGH, N. and KANNAN, S. 2024. Evaluating the impact of ranging error in underwater localization using SAR satellite data. In Proceedings of the 2024 IEEE (Institute of Electrical and Electronics Engineers) International workshop on Metrology for the sea; learning to measure sea health parameters (IEEE MetroSea 2024), 14-16 October 2024, Portorose, Slovenia. Piscataway: IEEE [online], pages 40-45. Available from: https://doi.org/10.1109/MetroSea62823.2024.10765665

The study evaluated the impact of ranging error in underwater localization processes using SAR satellite data within the framework of Underwater Wireless Sensor Networks (UWSN). By integrating a pretrained ArcGIS deep learning model with SAR imagery,... Read More about Evaluating the impact of ranging error in underwater localization using SAR satellite data..