Shipboard Data Compression Method for Sustainable Real-Time Maritime Communication in Remote Voyage Monitoring of Autonomous Ships
| Autor: | Nikola Lopac, Hongze Liu, Nobukazu Wakabayashi, Irena Jurdana |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Computer science
Geography Planning and Development Real-time computing Digital data TJ807-830 02 engineering and technology Management Monitoring Policy and Law TD194-195 Renewable energy sources Narrowband Data acquisition Encoding (memory) 0202 electrical engineering electronic engineering information engineering GE1-350 maritime communications data compression encoding remote voyage monitoring autonomous ship maritime transport Information exchange Environmental effects of industries and plants Renewable Energy Sustainability and the Environment 020206 networking & telecommunications 021001 nanoscience & nanotechnology Environmental sciences Communications satellite 0210 nano-technology Data compression Data transmission |
| Zdroj: | Sustainability Volume 13 Issue 15 Sustainability, Vol 13, Iss 8264, p 8264 (2021) |
| DOI: | 10.3390/su13158264 |
| Popis: | Due to the ever-increasing amount of data collected and the requirements for the rapid and reliable exchange of information across many interconnected communication devices, land-based communications networks are experiencing continuous progress and improvement of existing infrastructures. However, maritime communications are still characterized by slow communication speeds and limited communication capacity, despite a similar trend of increasing demand for information exchange. These limitations are particularly evident in digital data exchange, which is still limited to relatively slow and expensive narrowband satellite transmission. Furthermore, with the increasing digitalization of ships and introducing the sustainable concept of autonomous ship operation, large amounts of collected data need to be transmitted in real-time to enable remote voyage monitoring and control, putting additional pressure on the already strained means of maritime communications. In this paper, an adaptive shipboard data compression method based on differential binary encoding is proposed for real-time maritime data transmission. The proposed approach is verified on the actual data collected on board a training ship equipped with the latest data acquisition system. The obtained results show that the proposed data encoding method efficiently reduces the transmitted data size to an average of 3.4% of the original shipboard data, thus significantly reducing the required data transmission rate. Moreover, the proposed method outperforms several other tested competing methods for shipboard data encoding by up to 69.6% in terms of compression efficiency. Therefore, this study suggests that the proposed data compression approach can be a viable and efficient solution for transmitting large amounts of digital shipboard data in sustainable maritime real-time communications. |
| Databáze: | OpenAIRE |
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