AIS data exchange protocol study and embedded software development for maritime navigation

Essaadali, Riadh; Jebali, Chokri; Grati, Khaled; Kouki, Ammar B.

doi:10.1109/ccece.2015.7129519

Cited by 7 publications

(3 citation statements)

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“…The output on the other hand is a VHF connection, that transmits the ships position and vessel information. Additional information from on board sensors can be input through a data feed as required [25]. AIS link layer communication is based on a self organizing TDMA access protocol.…”

Section: Proposed System Prototype and Iomat Software Componentsmentioning

confidence: 99%

“…The AIS transceiver transmits and receives radio signals that form the VHF Data Link and interconnect the AIS stations to each other. The GPS receiver supplies the coordinated universal time (UTC) to the AIS station to correct its own clock in order to synchronize all transmissions such that there are no collisions or overlaps which would degrade the information being transmitted [25]. Most AIS models have a 9-pin NMEA port which can be connected to a computer serial port using a standard RS 232 serial cable [26] [27].…”

Section: A Ais System Level Considerations and Iomat Integrationmentioning

confidence: 99%

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Securing Marine Data Networks in an IoT Environment

Al-Khalidi

Al-Zaidi

Woods

et al. 2019

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)

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With the huge proliferation of sensory applications, the Internet of Things (IoT) is promising connectivity capacity far beyond the conventional computing platforms, with an ultimate goal of connecting all everyday objects. Sensory applications in the marine environment are foreseen to be an integral part of this connected world, forming the Internet of Marine Things (IoMaT). While some efforts that aim to establish network connectivity in such a sparse environment exist, securing these networks is still an unreached goal. This paper introduces a secure Mobile Ad-hoc/Delay Tolerant routing protocol (S-MADNET) for the marine environment over VHF equipment available on the majority of ships. The proposed secure network is designed to use the existing Automatic Identification System (AIS) that ships use for positioning and navigation aid. An IoMaT routing module that forwards marine sensory data using the proposed secure protocol is also presented, taking the AIS system level considerations into account. Furthermore, a new AIS message format with IoMaT support is proposed that accommodates the requirements of the secure routing protocol. Evaluation results show that the proposed S-MADNET routing protocol outperforms its counterparts in terms of packet delivery rates and packet duplication rates, while maintaining data security.

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Section: Proposed System Prototype and Iomat Software Componentsmentioning

confidence: 99%

Section: A Ais System Level Considerations and Iomat Integrationmentioning

confidence: 99%

Securing Marine Data Networks in an IoT Environment

Al-Khalidi

Al-Zaidi

Woods

et al. 2019

2019 7th International Conference on Future Internet of Things and Cloud (FiCloud)

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show abstract

“…In the world-wide radio navigation plan (WWRNP) developed by the IMO and the International Association of Lighthouse Authorities (IALA), the ranging mode (R-Mode) based on the automatic identification system (AIS) as a ground-based alternative system to GNSS is listed explicitly. Therefore, many countries and scientists are concentrating on the new technologies of AIS R-Mode and demonstration systems [ 10 ]. In Europe, AIS R-Mode is a part of the Accessibility for Shipping, Efficiency Advantages and Sustainability (ACCSEAS) project.…”

Section: Introductionmentioning

confidence: 99%

An Improved Positioning Method for Two Base Stations in AIS

Jiang

Zhang

2018

Sensors

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Resilient position, navigation, and timing (PNT) data is indispensable information in the field of e-navigation. An automatic identification system (AIS) based ranging mode (R-Mode) is put forward to develop a terrestrial backup system in order to overcome the vulnerability of the global navigation satellite system (GNSS). In general, at least three base stations are required in the traditional R-Mode positioning method. However, the geometric distribution of existing base stations is not considered for positioning, as AIS is a communication system. In some cases, a vessel can only receive signals from two base stations. In this paper, an improved position estimation method based on displacement correction is therefore proposed to solve this problem. Compared with the prior displacement correction position estimation (DCPE) method, the proposed method can improve positioning accuracy effectively by adopting a more precise motion model for the vessel, including an accelerated motion and a turning motion model. Moreover, the motion model is employed adaptively to correct the displacement of the vessel. Finally, the proposed method is verified and the performance is analyzed and compared by simulation. This study can extend the application region of AIS R-Mode.

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