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Open AccessArticle

Marine Vehicle Sensor Network Architecture and Protocol Designs for Ocean Observation

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, 114 Nanta Street, Shenyang 110016, China
Graduate School of Chinese Academy of Sciences, Beijing 100049, China
LTO, The South China Sea Institute of Oceanology, Chinese Academic of Science, 164 Xingangxi Road, Guangzhou 510301, China
Author to whom correspondence should be addressed.
Sensors 2012, 12(1), 373-390;
Received: 12 December 2011 / Revised: 24 December 2011 / Accepted: 27 December 2011 / Published: 2 January 2012
(This article belongs to the Special Issue Underwater Sensor Nodes and Underwater Sensor Networks)
The micro-scale and meso-scale ocean dynamic processes which are nonlinear and have large variability, have a significant impact on the fisheries, natural resources, and marine climatology. A rapid, refined and sophisticated observation system is therefore needed in marine scientific research. The maneuverability and controllability of mobile sensor platforms make them a preferred choice to establish ocean observing networks, compared to the static sensor observing platform. In this study, marine vehicles are utilized as the nodes of mobile sensor networks for coverage sampling of a regional ocean area and ocean feature tracking. A synoptic analysis about marine vehicle dynamic control, multi vehicles mission assignment and path planning methods, and ocean feature tracking and observing techniques is given. Combined with the observation plan in the South China Sea, we provide an overview of the mobile sensor networks established with marine vehicles, and the corresponding simulation results. View Full-Text
Keywords: marine vehicles; observing system; sensor networks; path planning marine vehicles; observing system; sensor networks; path planning
MDPI and ACS Style

Zhang, S.; Yu, J.; Zhang, A.; Yang, L.; Shu, Y. Marine Vehicle Sensor Network Architecture and Protocol Designs for Ocean Observation. Sensors 2012, 12, 373-390.

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