Multimodal, software defined networking for subsea sensing and monitoring.

Stewart, Craig; Fough, Nazila; Prabhu, Radhakrishna

Abstract

The prevalence of oceanic industry and ocean borne interests has given rise to the concept of the Underwater Internet of Things as a vector for automation and data analytics in an environment hostile to anthropomorphic activity. Through the Internet of Underwater Things, it is theorised that sensors along the ocean floor or otherwise can be densely connected to the internet through wireless acoustic or optical links. However, both technologies have significant disadvantages that prevent either becoming a dominant technology. This project proposes a wireless software defined multimodal network infrastructure, that is proven using channel modelling and power analysis calculations, to be capable of robustly transmitting sensor data from source to sink by managing each technology according to its optimal environment. It was found that it is achievable to populate an opto-acoustic network in such a way that Successful Delivery Ratio becomes 90%-100% in clear water whilst achieving a 17% saving in overall energy consumption in a network mounted on a pipeline at 200 m depth when compared to a stand-alone equivalent acoustic network.

Citation

STEWART, C., FOUGH, N. and PRABHU, R. 2023. Multimodal, software defined networking for subsea sensing and monitoring. In Proceedings of the 2023 IEEE Oceanic Engineering Society conference and exposition (OCEANS 2023): blue ocean planet earth, 5-8 June 2023, Limerick, Ireland. Piscataway: IEEE [online], document number 10244664. Available from: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244664

• Conference Name: 2023 IEEE Oceanic Engineering Society conference and exposition (OCEANS 2023): blue ocean planet earth
• Conference Location: Limerick, Ireland
• Start Date: Jun 5, 2023
• End Date: Jun 8, 2023
• Acceptance Date: Feb 20, 2023
• Online Publication Date: Sep 12, 2023
• Publication Date: Dec 31, 2023
• Deposit Date: Oct 26, 2023
• Publicly Available Date: Oct 26, 2023
• Publisher: Institute of Electrical and Electronics Engineers (IEEE)
• ISBN: 9798350332278
• DOI: https://doi.org/10.1109/OCEANSLimerick52467.2023.10244664
• Keywords: Acoustics; Underwater Internet of Things; Visible light communication; Software defined networks
• Public URL: https://rgu-repository.worktribe.com/output/2072369
• Additional Information: The original submitted version of this paper was titled "Link performance and energy consumption analysis for a multimodal, software defined network for subsea monitoring."