System architecture for data communication and localization under harsh environmental conditions in maritime automation
- 1 July 2012
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE 10th International Conference on Industrial Informatics
- p. 1252-1257
- https://doi.org/10.1109/indin.2012.6300864
Abstract
This paper shows an initial approach of a system architecture for a wireless sensor network (WSN), addressing the maritime domain. Novel architectures, technologies and prototypes for WSNs have been in focus of researchers and economists for several years. The proposed system architecture is focused on maritime automation - the construction and maintenance of offshore wind farms with their specific requirements. Harsh environmental conditions impede the performance of wireless technologies in onshore and offshore applications, caused for instance by many metal components, wayless terrain, often non-line-of sight (NLOS) connections between mobile motes, and dynamic ground motion for example onto a jack up ship for offshore construction work. Furthermore, many approaches for WSN are addressing either communication or localization networks. The proposed system architecture covers both at the same time, based on Ultra Wide Band radio technology (UWB). UWB allows robust distance measurements and communication, in particular in harsh environments.Keywords
This publication has 5 references indexed in Scilit:
- Investigation of Wireless Sensor Networks for Structural Health MonitoringJournal of Sensors, 2012
- Standards-based wireless sensor networking protocols for spaceflight applicationsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Applications of Wireless Sensor Networks in the Oil, Gas and Resources IndustriesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- UWB Channel Measurement and Data Analysis in Offshore Oil PlatformPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2009
- Using wireless sensor networks to enable increased oil recoveryPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2008