Enabling the Maritime Internet of Things: CoAP and 6LoWPAN Performance Over VHF Links

Palma, David

doi:10.1109/jiot.2018.2868439

Cited by 33 publications

(11 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…They also highlight the need for a connectivity manager to satisfy the various operating conditions' communication requirements. Work [26], instead, investigates how protocols that are typically used in the IoT context can be applied to existing maritime communication technologies. For this purpose, they test on an experimental setup, a configuration using the Constrained Application Protocol (CoAP), i.e.…”

Section: B Communication Technologiesmentioning

confidence: 99%

An Outlook on the Future Marine Traffic Management System for Autonomous Ships

Martelli¹,

Virdis

Gotta

et al. 2021

IEEE Access

View full text Add to dashboard Cite

In the shipping digitalisation process, the peak will be reached with the advent of a wholly autonomous and at the same time safe and reliable ship. Full autonomy could be obtained by two linked Artificial-Intelligence systems representing the ship navigator and the ship engineer that possess sensing and analysis skills, situational awareness, planning, and control capabilities. Many efforts have been made in developing onboard systems; however, the shore facilities are not ready yet to deal with these new technologies. The paper aims to present the innovative technologies and methodologies needed to develop a futuristic Vessel Traffic System. The proposed systems will aim at faultless data acquisition and processing, provide input to decision-making systems, and suggest evasive manoeuvre; to deal with hazards and systems failure without human intervention onboard. The system is composed of three different and interacting layers. The first is an artificially intelligent tool to detect and control autonomous ships, thanks to situation recognition and obstacle avoidance strategies. The second is an orchestration and management platform designed to coordinate the sensing/actuation infrastructure and the AI algorithms' results made available by multiple ships, mustering edge, and distributed computing techniques to fulfil the specific harsh requirements of the sea environment. The final part is a holistic guidance-navigation-control framework to manage autonomous ships' navigation in a crowded area. Eventually, a cyber-physical scenario, using both a ship digital-twin and a real model-scale ship, is suggested to test and validate the innovative system without the availability of a full-scale scenario.

show abstract

Section: B Communication Technologiesmentioning

confidence: 99%

An Outlook on the Future Marine Traffic Management System for Autonomous Ships

Martelli¹,

Virdis

Gotta

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…To further improve the efficacy of maritime surveillance, an AIenpowered maritime IoT was developed by proposing a parallel-network-driven approach [31]. Palma [32] also proposed to enable maritime IoT across the seas and oceans through the performance analysis of CoAP and 6LoWPAN over VHF links. By combining the AI-based computer vision and IoT, it is tractable to robustly and accurately detect the undesirable water-surface targets under different weather conditions.…”

Section: Intelligent Video Surveillance In Maritime Transportationmentioning

confidence: 99%

Intelligent Vision-Enabled Detection of Water-Surface Targets for Video Surveillance in Maritime Transportation

Guo

et al. 2021

Journal of Advanced Transportation

View full text Add to dashboard Cite

The timely, automatic, and accurate detection of water-surface targets has received significant attention in intelligent vision-enabled maritime transportation systems. The reliable detection results are also beneficial for water quality monitoring in practical applications. However, the visual image quality is often inevitably degraded due to the poor weather conditions, potentially leading to unsatisfactory target detection results. The degraded images could be restored using state-of-the-art visibility enhancement methods. It is still difficult to generate high-quality detection performance due to the unavoidable loss of details in restored images. To alleviate these limitations, we first investigate the influences of visibility enhancement methods on detection results and then propose a neural network-empowered water-surface target detection framework. A data augmentation strategy, which synthetically simulates the degraded images under different weather conditions, is further presented to promote the generalization and feature representation abilities of our network. The proposed detection performance has the capacity of accurately detecting the water-surface targets under different adverse imaging conditions, e.g., haze, low-lightness, and rain. Experimental results on both synthetic and realistic scenarios have illustrated the effectiveness of the proposed framework in terms of detection accuracy and efficacy.

show abstract

“…In addition to these projects developing new infrastructures for maritime communications, research efforts have been made for enabling the maritime internet of things (IoTs) using VHF links available on the majority of vessels [16], [17]. They integrated VHF communications with IoT technologies and protocols to extend the communication coverage in the maritime environment, however, the data rate of proposed networks is limited to tens of kbps due to the drawbacks of VHF links.…”

Section: B Maritime Communication Networkmentioning

confidence: 99%

LTE-Maritime: High-Speed Maritime Wireless Communication Based on LTE Technology

Jo¹,

Shim²

2019

IEEE Access

View full text Add to dashboard Cite

The recent advances in wireless communication technologies allow mobile users to access various data services anytime and anywhere on land, while it is one of challenging issues to provide reliable data communications for maritime users due to the geographic features on the sea. Considering the increasing demands of maritime digital data services, we need to develop maritime communications supporting high-speed data rates and extended communication coverage. In this paper, we present the stateof-the-art works related to the data requirements of maritime services and the technical characteristics of existing maritime networks. Then, we introduce a long-term evolution for maritime (LTE-Maritime) that is an ongoing research project in South Korea. The objective of LTE-Maritime is to develop a maritime communication infrastructure supporting the data rates in the order of megabits per second within the communication coverage of 100 km. In order to confirm the feasibility of LTE-Maritime, we implemented a testbed for the LTE-Maritime which consisted of ships equipped with LTE-Maritime routers, base stations (BSs) along the coast, and an operation center. The experimental results show that the LTE-Maritime could be a practical solution for ship-to-shore data communication. Furthermore, we discuss a set of open issues related to the development of LTE-Maritime network.INDEX TERMS Long term evolution (LTE), LTE-Maritime, maritime data service, maritime wireless communication, testbed implementation.

show abstract

Enabling the Maritime Internet of Things: CoAP and 6LoWPAN Performance Over VHF Links

Cited by 33 publications

References 35 publications

An Outlook on the Future Marine Traffic Management System for Autonomous Ships

An Outlook on the Future Marine Traffic Management System for Autonomous Ships

Intelligent Vision-Enabled Detection of Water-Surface Targets for Video Surveillance in Maritime Transportation

LTE-Maritime: High-Speed Maritime Wireless Communication Based on LTE Technology

Contact Info

Product

Resources

About